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Job DescriptionField AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team:The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Electrical Systems Role:As an Electrical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of electrical systems that enable power and communications across the sense and compute packages. Your work will span across power systems, wire harnesses, PCB design, and communications networks with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. Additionally, while your focus will be on electrical systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Electrical System Design • Power Architecture: Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes., • Wire Harness Design: Design and document robust wire harnesses for power and data lines, including shielding, strain relief, and standard connectors., • PCB Design: Create PCBs for power distribution, protocol bridging, and embedded control., • Networking & Communication: Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, WiFi, 5G)., • Budgets & Tolerances: Maintain system-level power and bandwidth budgets. Ensure electrical tolerance to noise, EMI, and vibration. 2. Electrical System Implementation, • CAD & Schematics: Create PCB schematics, harness diagrams, pinouts, and complete PCB BOMs using tools like KiCAD or Altium., • Calculations: Conduct electrical calculations including current draw, peak power, signal integrity, and fault analysis., • Design for Field Conditions: Engineer for EMI/EMC robustness, thermal resilience, and fault isolation under field operating conditions., • Testing: Conduct power validation (noise, load, transients), communication tests (bandwidth, latency), and EMI evaluation., • Integration: Collaborate with sensor, compute, and mechanical teams to ensure end-to-end system compatibility and robustness., • Documentation & Budgets: Maintain PCB schematics and systems level wiring diagrams. Manage system-level power and data bandwidth budgets. 3. Electrical System Production & Servicing, • Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA checks for incoming units., • Debug: Investigate system faults using logs, oscilloscopes, analyzers, and power monitors., • Support: Provide hands-on support during integration, deployment, and servicing in the field. What You Have, • Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field., • Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers., • Power Systems: Experience designing and testing low-voltage regulated power systems., • Harnessing: Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems., • PCB Design: Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools., • Communication Protocols: Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies., • Testing & Debugging: Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups., • Documentation: Ability to produce detailed electrical documentation for design, manufacturing, and servicing., • Systems Thinking: Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems., • Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems. What Will Set You Apart, • Scaling: Experience taking systems from prototype to large scale production., • Field Environments: Experience developing systems for harsh field environments., • Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots., • Systems Level Robotics: Fluency across electrical, mechanical, and software systems., • Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design.Compensation and BenefitsOur salary range is between ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI?We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics RevolutionTo tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Responsibilities Job Summary The Technical Services Engineer is the first point of contact for users, providing expert support, troubleshooting issues, and contributing to a seamless healthcare IT experience. This role works closely with cross-functional teams to resolve incidents, maintain high service quality, and continuously improve support processes. Essential Duties and Responsibilities • Project coordination and task ownership while serving as the primary point of contact for customer communication and issue resolution., • Serve as the primary implementation resource for client projects from kick-off through completion, • Second-level support for healthcare IT systems, including troubleshooting and resolving escalated technical issues., • Respond to user inquiries via phone, email, and ticketing systems in a timely and professional manner., • Participate in a rotating schedule to monitor the support queue, triage incoming tickets, and assign them to the appropriate product or functional team., • Collaborate with IT, Product, and Engineering teams to escalate and resolve complex issues., • Maintain detailed records of incidents, solutions, and workflows in the ticketing system., • Contribute to the continuous improvement of support processes and knowledge base., • Ensure compliance with regulatory standards and internal IT policies., • Support key customers and maintain positive relationships, providing updates and guidance as needed. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • 5+ years of experience in an IT support role, • Bachelor’s degree in IT, Healthcare Informatics, or related field, or equivalent experience. (Required), • Proven IT support experience, preferably in healthcare or clinical environments. (Required), • Strong customer relationship and call center support skills. (Required), • Strong IT, networking, and general computer skills. (Required), • Solid understanding and hands-on experience with PC and server hardware platforms and command lines on Linux and Windows. (Required), • Experience troubleshooting complex applications and software products. (Required), • Proficiency in Windows operating systems (Windows 7 and above, Server) and Linux system administration. (Required), • Familiarity with healthcare IT systems, including EMR and clinical software. (Required), • Experience with ticketing systems and ITIL-based support processes. (Required), • Knowledge of archival and storage media. (Required), • Excellent troubleshooting, diagnostic, and analytical skills. (Required), • Strong written and verbal communication skills. (Required), • Ability to manage multiple tasks, work under pressure, and collaborate across teams. (Required), • Flexibility to work varied hours and participate in on-call rotations. (Required), • PACS/Radiology/DICOM/HL7 experience. (Preferred), • Radiology workflow experience. (Preferred), • CompTIA Linux, RHCA, or RHCT certification. (Preferred), • CCNA/CCNP certification. (Preferred), • Proficiency in additional languages, particularly for EU or international regions. (Preferred) Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Travel This position may require occasional travel. Working Environment Hybrid/Remote Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Salary $100,000 to $110,000 depending on experience

Job DescriptionFounded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We’re looking for a Staff Engineer to lead V-BAT’s fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs. You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. What you'll do: • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows, • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products, • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior, • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success, • Standardize the team’s analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows, • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows, • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams, • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards, • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health, • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis, • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team Required qualifications:, • 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field, • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines, • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems, • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments, • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations, • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams Preferred qualifications:, • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites, • Experience with Matlab, Jupyter, or similar analysis and visualization tools, • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems, • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging, • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems #LI-SM1#LD Full-time regular employee offer package:Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects.Responsibilities • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time, • Build multi-modal foundation models for on-vehicle and offline applications, • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems, • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field, • Provide technical mentorship to the broader group of ML developers at Zoox, • Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications, • BS, MS, or PhD degree in computer science or related field, • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Experience with modern computer vision techniques, • Strong mathematical skills and understanding of probabilistic techniques, • Fluency in C++ or Fluency in Python with a basic understanding of C++, • Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets, • Experience with 3D data and representations (pointclouds, meshes, etc.)Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description hatch I.T. is partnering with Babel Street to find an NLP/Linguistics Software Engineer. Please see details below: About the Role Babel Street is looking for a Software Engineer to join their Analytics Group. This is an execution-focused "builder" role for an engineer early in their career who wants to work at the intersection of NLP algorithms, search engines, and data science techniques. In this role, you will help create the next generation of architecture and components for their analytics platform, focusing specifically on their record matching functionality. You will bridge the gap between linguistic theory and practical AI applications, helping us implement practical, innovative text analytics and AI-driven features. You will work closely with senior engineers to learn how to deliver software that is safe, reliable, and production-ready. About the Company Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. What you will do: • Implement and Maintain: Write high-quality, maintainable code to support the analytics platform and its record matching components., • Bridge Theory and Practice: Take theoretical ideas from linguistics and data science and implement them as practical software features., • Support Search Internals: Help optimize and maintain search engine components, including Elasticsearch data modeling and performance tuning., • Collaborate and Learn: Participate in agile sprint planning and work daily with senior partners to translate project requirements into technical solutions., • Build Scalable Systems: Assist in designing and shipping robust APIs and scalable architectures that integrate into our AI-native platform.What you will bring: Required: • 2–4 years of professional software engineering experience (including high-impact internships or projects)., • Proficiency in Java (our core analytics language) or Python (for AI/ML integrations)., • Problem Solver: Ability to work across teams and make steady progress in ambiguous problem spaces., • Educational Foundation: Bachelor's degree in Computer Science, Linguistics, or a related technical field. Preferred (Nice to Have): • Foundation in Data Science: Experience with data quality evaluation, data annotation, or guideline design, preferably for linguistics., • Familiarity with Elasticsearch internals or other search/retrieval-based systems., • Exposure to computational linguistics or natural language processing (NLP)., • Interest in Kubernetes and cloud-native architectures.What success looks like:, • Month 1–2: Ramp up on the analytics stack and record matching architecture; ship your first initial changes to production., • Month 3–4: Take ownership of a specific component or pipeline improvement with guidance, including full testing and documentation., • Month 5–6: Deliver a measurable improvement to record matching quality or pipeline reliability and contribute to team design discussions.Why this role matters:The record matching functionality is where Babel Street’s signals become usable intelligence. Do you care about provenance, explainability, and trust? When a match decision affects whether someone is onboarded or investigated, "the model said so" is not good enough. You will help build systems where every match is defensible, auditable, and tunable — a rare luxury in modern ML-heavy stacks. Do you speak multiple languages? Since our platform processes data from around the globe, your linguistic insights can directly inform how we build and polish the NLP and computational linguistics components that make our record matching world-class. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Commonwealth of Massachusetts’ Executive Office of Health and Human Services (EOHHS) is seeking a highly skilled Operations & Systems Engineer to join its Health Insurance Exchange (HIX) team. This essential role ensures the performance, availability, and reliability of mission-critical systems by driving proactive system monitoring, timely issue resolution, and continuous improvement initiatives. The Operations & Systems Engineer is integral to maintaining operational excellence across HIX’s infrastructure. The ideal candidate will possess strong technical capabilities, a collaborative spirit, and a strategic, solutions-oriented approach to systems engineering and support. Key Responsibilities: • Proactively monitor system availability, capacity, and performance using Dynatrace and complementary tools., • Investigate and analyze performance issues; assess severity and ensure appropriate escalation and resolution., • Configure and manage Dynatrace dashboards, custom alerts, and performance tracking metrics (e.g., response time, throughput, error rates)., • Identify performance degradation early through alerting mechanisms and support rapid remediation., • Collaborate cross-functionally with internal teams, vendors, architects, and the PMO to resolve operational issues., • Support daily operations, including production system maintenance and patch management., • Perform data updates and generate both ad-hoc and scheduled reports using SQL and tools such as Toad or SQL Developer., • Develop and manage project plans and timelines, ensuring timely delivery of high-quality outputs., • Document systems processes and contribute to the development of operations best practices., • Oversee User Access Request processes for systems, databases, and monitoring tools., • Manage digital certificate lifecycle and updates in coordination with vendors., • Maintain a comprehensive software inventory with version tracking and update planning., • Create professional reports and presentations using Microsoft Office applications, especially Excel and PowerPoint., • Ensure compliance with EOHHS IT policies, security standards, and regulatory requirements. Requirements • Proven ability to diagnose and resolve complex IT issues using enterprise monitoring tools, with Dynatrace experience required., • Strong technical background in systems operations, monitoring, and performance optimization., • Familiarity with AWS, Amazon QuickSight, and scripting languages (e.g., Linux Shell, Python) for automation., • Solid understanding of APM (Application Performance Monitoring), synthetic monitoring, and log analytics., • Experience interpreting and creating technical diagrams, including ERDs and architectural diagrams., • Hands-on experience with ticketing systems such as ServiceNow, and project tracking tools like JIRA., • Excellent communication and interpersonal skills, with the ability to engage both technical and non-technical stakeholders., • Effective at managing multiple priorities in a fast-paced, mission-critical environment. Education & Experience Requirements: • Bachelor’s Degree in Computer Science, Information Systems, or a related field., • 5–8 years of relevant experience in operations or systems engineering roles., • Experience supporting production environments with mission-critical applications, preferably in government or highly regulated sectors., • Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint, Visio, and MS Project). Minimum Technical and Work Environment Requirements: • Internet Connection:, • Primary internet connection with a minimum speed of 15 Mbps., • Backup internet connection with at least 10 Mbps., • Backup connection must be capable of supporting work during a power outage., • Primary Device:, • Desktop or laptop equipped with at least:, • Intel Core i5 (8th generation or newer), Intel Core i3 (10th generation or newer), AMD Ryzen 5, or an equivalent processor., • A minimum of 8 GB RAM., • Backup Device:, • Must meet or exceed the performance of an Intel Core i3 processor., • Must be functional during power interruptions., • Peripherals and Workspace:, • A functioning webcam., • A noise-canceling USB headset., • A quiet, dedicated home office space., • A smartphone for communication and verification purposes. Benefits • Join Our Dynamic Team: Experience our fun, inclusive, innovative culture that values your unique contributions and supports your professional growth., • Embrace the Opportunities: Seize daily chances to learn, innovate, and excel. Make a real impact in your field., • Limitless Career Growth: Unlock a world of possibilities and resources to propel your career forward., • Fast-Paced Thrills: Thrive in a high-energy, engaging atmosphere. Embrace challenges and reap stimulating rewards., • Flexibility, Your Way: Embrace the freedom to work from home or any location of your choice. Create your ideal work environment., • Work-Life Balance at Its Best: Say goodbye to stressful commutes and hello to quality time with loved ones. Achieve a healthy work-life integration to perform at your best.

Job Description Responsibilities Job Summary The RIS Data Migration Engineer is responsible for overseeing and executing the migration of data between Radiology Information Systems (RIS), ensuring data integrity, accuracy, and compliance with regulatory standards. The Data Migration Engineer will work closely with IT, clinical, and administrative teams to ensure seamless transitions of data from legacy systems to modern platforms, while optimizing workflows and maintaining the highest standards of patient data privacy and security. Essential Duties and Responsibilities • Develop and execute comprehensive strategies for RIS data migration., • Collaborate with stakeholders to gather and analyse migration requirements., • Extract clinical, operational, and administrative data from legacy RIS systems., • Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments., • Assist in assembling and loading RIS system’s master lists including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master look-up tables., • Use ETL tools to clean, transform, and prepare data for migration., • Provide post-migration support for product go-live implementations., • Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors., • Document the entire migration process, including methodologies, tools, and reports., • Train staff on how to manage, access, and use data in the new RIS system., • Perform comprehensive validation to ensure data completeness and resolve inconsistencies., • Conduct post-migration verification and prepare detailed reports for stakeholders., • Identify and resolve migration-related issues, such as data inconsistencies or system compatibility challenges. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • Bachelor’s degree in information technology, computer science, healthcare informatics, or related field; or equivalent professional experience, • 3+ years proven experience in data migration within a healthcare environment, • Hands-on experience with data manipulation and/or migration within RIS, PACS, HIS, and EMR systems., • Proficiency in ETL processes, database structures, SQL, and healthcare data standards., • Proficient SQL skills and experience with database management. Proprietary software product is supported by MS SQL Server. Proficiency with Transact SQL, triggers, functions, stored procedures, database schema design, SQL agent jobs, and ad hoc querying., • Using skills above, work with various formats of data such as CSV and other delimited text files, Excel data, SQL databases, Word docs, BMP/JPG files, PDF files. Ad hoc manipulation such as converting one format to another, rename files, move files, parse files, clean data., • Excellent technical communication and interpersonal skills, with the ability to effectively communicate with stakeholders at all levels of the organization, • Strong problem-solving and troubleshooting abilities, • Ability to adapt to constantly changing projects. This role requires a high level of self-motivation, self-management, initiative, and the ability to prioritize multiple tasks effectively. Occasional off-hours work is required to migrate during off-peak system times., • Attention to detail with a commitment to data accuracy and security. Comfort and willingness to handle and analyze and scrutinize large medical record datasets is a critical aspect of the job to maintain high data quality standards, • Proficiency in C# for Windows desktop programming or Python, or similar programming languages to enhance in-house data migration tools., • Familiarity with Linux OS and scripting (Python, Pearl, VIM, BASH) to assist with ancillary data migrations taking place in Linux environments., • Mirth skills, particularly with HL7 Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Travel This position requires domestic / international travel up to 10%. Working Environment Remote Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Salary range $100,000-$120,000

Job Description Alarm.com is seeking a motivated and detail‑oriented Embedded Firmware Engineer to join our Device Engineering team. This role is ideal for engineers with 2–3 years of experience who are excited to work close to hardware with modern embedded firmware architectures and integrate with a growing ecosystem of third‑party devices used in security and smart home applications. You will contribute to the development and maintenance of embedded firmware running on resource‑constrained devices, with a strong focus on integrating security panels, sensors, and other third‑party peripherals. You'll also help evolve our firmware platforms toward more modern real‑time operating systems such as Zephyr, improving reliability, scalability, and maintainability across our device portfolio. This role involves close collaboration with Software Engineering, Quality Engineering, Product, and Project Management teams to deliver high‑quality, customer‑facing products, and contributing to the ongoing development of our firmware automation and CI/CD pipelines to improve build, test, and release efficiency. What You'll Do • Design, develop, and maintain embedded firmware for connected security and cellular IoT devices, • Integrate and validate third‑party devices such as security panels, sensors, and peripheral modules, • Contribute to the transition of existing firmware architectures to modern RTOS‑based platforms, • Implement and maintain device drivers, communication stacks, and application‑level logic, • Work closely with Software Engineering, Quality Engineering, Product, and Project Management to define requirements, resolve issues, and deliver features on schedule, • Debug and troubleshoot issues across hardware and software boundaries using lab tools and logging frameworks, • Help build, maintain, and enhance automated testing, build systems, and CI/CD pipelines for embedded firmware, • Participate in code reviews and help improve firmware quality, testability, and documentation What You Bring • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, related field, or equivalent experience., • 1–3 years of professional experience developing embedded firmware in C/C++, • Experience working on microcontroller‑based systems in a production environment, • Familiarity with RTOS concepts such as tasks, scheduling, synchronization, and memory management, • Experience integrating external devices or peripherals using common interfaces (UART, SPI, I2C, GPIO, etc.), • Strong debugging skills and comfort working with hardware tools (JTAG/SWD, logic analyzers, oscilloscopes), • Ability to collaborate effectively within cross‑functional engineering teams Nice to Have • Hands‑on experience with FreeRTOS, Zephyr, or similar real‑time operating systems, • Experience integrating or supporting third‑party hardware or vendor SDKs, • Familiarity with embedded firmware automation, CI/CD systems, or hardware‑in‑the‑loop testing, • Experience working in Agile or iterative product development environments, • Worked with AI‑assisted development tools to accelerate firmware development, improve code quality, and /orsupport automated testing and CI/CD workflows., • Experience with common communication protocols. Wireless technology familiarity is a plus (cellular, Wi-Fi, Bluetooth, Z-Wave, Zigbee, etc). Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR ALARM.COM? • Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers., • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!, • Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business., • Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work., • Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week. COMPANY INFO Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people. For more information, please visit www.alarm.com. COMPANY BENEFITS Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment. Alarm.com is an Equal Opportunity Employer In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com. #LI-KM1 JR105600 The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range$110,000—$120,000 USD

Job Description Description Verista's 500 experts team up with the world's most recognizable brands in the life science industry to solve their business needs. The nature of our business is to empower growth and innovation within the scientific community and to help researchers, organizations, and companies solve some of the world's most pressing healthcare challenges. Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities. Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives. Our talented and dedicated professionals are committed to making an impact every day. Company Culture Guidelines & Values: • We empower and support our colleagues, • We commit to client success at every turn, • We have the courage to do the right thing, • We encourage an inclusive environment where our colleagues feel respected, engaged, and challenged., • We constantly acquire new skills and learn from our experiences to enhance our collective expertiseSenior Quality Engineer Responsibilities:Quality Oversight & GMP Operations, • Provide Quality Assurance oversight for GMP manufacturing operations supporting both clinical and commercial Cell & Gene Therapy products., • Partner with Manufacturing, Validation, Engineering, Facilities, Laboratory Operations, Materials Management, and Capital Project teams to ensure GMP compliance throughout the product lifecycle., • Represent Quality on cross-functional project teams while serving as the primary QA resource for assigned initiatives., • Identify compliance risks and proactively communicate quality gaps, recommending practical, risk-based solutions.Validation & Engineering Support, • Provide QA review and approval of:, • Validation protocols and reports, • Equipment, utility, facility, and computer system qualification documentation, • Risk assessments, • Engineering change documentation, • Support commissioning, qualification, and validation activities associated with manufacturing equipment, facilities, utilities, and capital projects., • Review qualification activities for laboratory instruments and manufacturing systems.Quality Systems & Compliance, • Provide Quality support for:, • Change Controls, • Deviations and GMP Investigations, • Root Cause Analysis, • Corrective and Preventive Actions (CAPA), • Ensure investigations are scientifically sound, timely, and compliant with regulatory expectations., • Evaluate quality issues using a risk-based decision-making approach.Facilities & Utility Oversight, • Provide Quality oversight for:, • Preventive Maintenance (PM), • Calibration programs, • Electronic Change Requests (eCRs), • Work Orders, • Review and approve equipment, utility, and facility trending programs., • Support Environmental Monitoring (EM), routine facility monitoring, and utility control programs., • Provide oversight of facility monitoring systems including Building Management Systems (BMS), Environmental Monitoring Systems (EMS), ViewLinc, pest control, and related GMP-controlled programs.Cross-Functional Collaboration, • Foster strong collaboration across Quality, Manufacturing, Engineering, Validation, Facilities, and Laboratory organizations., • Participate in project meetings and provide quality guidance throughout project execution., • Communicate effectively with stakeholders at all organizational levels while balancing quality, compliance, and business objectives.Requirements:, • Master's degree with 3–5 years of relevant Quality or Validation experience OR, • Bachelor's degree in Engineering, Life Sciences, Scientific, or related discipline with 8+ years of relevant industry experience, or equivalent combination of education and experience., • Experience providing QA oversight of GMP manufacturing operations., • Experience supporting validation programs and capital projects within regulated pharmaceutical, biotechnology, or Cell & Gene Therapy environments., • Strong knowledge of cGMP regulations, quality systems, and validation principles., • Experience supporting aseptic manufacturing operations., • Demonstrated experience leading:, • GMP investigations, • Root Cause Analysis, • CAPA development and effectiveness, • Experience reviewing validation documentation, engineering documentation, and quality system records., • Experience working with electronic quality systems such as:, • Veeva, • Nuvolo, • ViewLinc, • Other enterprise GMP quality applications, • Onsite job requirement in Boston, MA For US geography, the salary range for this position is shown below. The actual salary is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs, market demand, and competitive market practice. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This salary range is subject to change and may be modified in the future. *Verista is an equal opportunity employer. National (US) Range$70,491—$113,521 USD Benefits Why Choose Verista? • High growth potential and fast-paced organization with a people-focused culture, • Competitive pay plus performance-based incentive programs, • Company-paid Life, Short-Term, and Long-Term Disability Insurance., • Medical, Dental & Vision insurances, • FSA, DCARE, Commuter Benefits, • Supplemental Life, Hospital, Critical Illness and Legal Insurance, • Health Savings Account, • 401(k) Retirement Plan (Employer Matching benefit), • Paid Time Off (Rollover Option) and Holidays, • As Needed Sick Time, • Tuition Reimbursement, • Team Social Activities (We have fun!), • Employee Recognition, • Employee Referral Program, • Paid Parental Leave and Bereavement Verista collects and processes personal data in accordance with applicable data protection laws. If you are a California Job Applicant, see the privacy notice for further details. For more information about our company, please visit us at Verista.com

Job Description We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary: The Principal AIOps Engineer will build the platform that makes AI cheap, fast, safe, and observable at RxSense. As a direct report to the Director of AI Engineering, this role will own the infrastructure that every AI-powered product at RxSense depends on. This is a hands-on-keyboard position from day one, partnering with AI engineers, software engineers, data scientists, security, and finance to deliver deployment pipelines, agent runtime, eval frameworks, self-hosted model serving, and the developer harness that determines how fast every other engineer in the company can ship. Essential Duties and Responsibilities: • Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks. Drive new greenfield deployment platforms from initial build to the default that AI teams ship on., • Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement. Define the deployment contract (config, secrets, tools, memory, evals) and the operational SLOs., • Own how the organization provisions, rotates, scopes, and meters access to model provider APIs (Anthropic, OpenAI, and others). Build a key management layer that enforces per-team and per-app quotas, prevents leakage, and gives finance and engineering a clear view of spend., • Build evals into the CI/CD pipeline so no agent or LLM-powered service ships without passing a defined eval bar. Design the framework so product teams can author their own evals against a shared harness, and so eval results gate promotion across environments., • Stand up self-hosted inference for workloads where managed APIs aren't the right fit, including latency-sensitive paths, regulated data, cost optimization, and vendor redundancy. Own the serving stack, the autoscaling and GPU economics behind it, and the playbook for when a workload belongs to a managed provider versus internal infrastructure., • Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement. Set the abstractions that determine how fast every other AI engineer can ship for the next three years., • Partner with finance on cost visibility, including token accounting, per-feature cost attribution, and real-time spend observability., • Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without hand-holding., • Participate in code review and promote collaboration and best practices including simplicity, automation, sound design patterns, test coverage, and reusability. Education/Experience/Competencies: • BS (or higher, e.g., MS or Ph.D.) in Computer Science or related technical field involving coding, or equivalent technical experience., • 6+ years of platform, infrastructure, or DevOps engineering, with at least 2 years building production infrastructure for AI/ML or LLM-powered systems. We care more about depth and drive than years on a resume., • Deep hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout., • Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers., • Proven track record building developer platforms or internal tools that other engineering teams adopted by choice, not by mandate., • Production experience with LLM-powered applications, including prompt management, model routing, retries, tracing, and the operational realities of running agents or chains in production., • Hands-on coding fluency in Python or TypeScript, ideally both. This is a keyboard role, not an architecture-only role., • Comfortable operating in a polyglot environment. The RxSense AI engineering stack spans Python, .NET, and TypeScript, and you will deploy and support services across all three., • Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners., • Strong written communication and a bias toward documentation, runbooks, and clear interfaces., • Proven analytical thinking and problem-solving skills., • Excellent communication skills, both verbal and written. Bonus Qualifications: • Direct experience integrating with Anthropic, OpenAI, or other frontier model provider APIs at scale, including key management, quota enforcement, and capacity planning., • Hands-on experience self-hosting models with vLLM, TGI, SGLang, or similar inference servers, including GPU autoscaling and cost optimization., • Built or contributed to an eval framework that gated production deployments., • Familiarity with agent runtimes and frameworks such as the Claude Agent SDK, LangGraph, or in-house equivalents., • Working familiarity with .NET, enough to read code, debug a deploy, and pair with service owners., • Background in healthcare, PBM, pharmacy, or another regulated data environment., • FinOps experience, particularly attributing AI spend to features or business units., • Kubernetes operator experience or comfort with custom controllers., • Experience with Agile development methodologies, preferably both Scrum and Kanban Salary Range: $190,000 - $225,000 RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status. We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

Job DescriptionFieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are looking for a Research Engineer to join our growing humanoid manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, testing, and refining manipulation capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into Field AI’s robot learning pipelines. You will also play a key role in advancing robotics foundation models designed to be embodiment agnostic, with an initial focus on humanoid platforms. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments.What You’ll Get To Do • Advance Humanoid Manipulation Research and Development, • Design, implement, and evaluate manipulation strategies for humanoid robots across a wide range of tasks., • Drive projects from early concepts through on-robot testing and deployment., • Contribute to loco-manipulation capabilities that integrate perception, control, and planning., • Build Systems That Bridge Research and Deployment, • Translate research ideas into reliable robotic systems that operate in real-world conditions., • Ensure systems are robust, reproducible, and aligned with data collection and learning objectives., • Develop experimental infrastructure to support rapid iteration and evaluation., • Collaborate Across Disciplines, • Partner with mechanical and electrical engineers on hardware integration and system bring-up., • Work closely with teleoperators and field teams to refine interfaces and improve manipulation performance., • Act as a connective layer between autonomy research and applied robotics engineering., • Rapidly Iterate and Deliver, • Prototype quickly, run experiments on hardware, and validate results in the field., • Balance exploratory research with concrete deliverables that support near-term goals., • Debug complex system-level issues spanning software, hardware, and learning.What You Have, • Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field., • 4+ years of hands-on experience in robotic manipulation in academic or industry settings., • Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation., • Proven experience implementing and evaluating robotic systems on real hardware., • Ability to work effectively in fast-paced, highly collaborative environments., • Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches.The Extras That Set You Apart, • Experience working with humanoid robots or multi-fingered robotic hands., • Background in learning-based manipulation, including imitation learning or reinforcement learning., • Familiarity with teleoperation systems and human-in-the-loop data collection., • Publications or open-source contributions in top robotics venues., • Experience with large-scale robotics data collection and dataset management., • Strong interest in bridging cutting-edge research with field-ready robotic systems.Why Join Field AI?FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics RevolutionSolving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.We are headquartered in Mission Viejo (Irvine adjacent), Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal OpportunityFieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description As a Manufacturing Test Support Engineer on the Manufacturing Test Engineering team, you will troubleshoot, maintain, and repair the test systems that are used in the manufacture of our Robotics Systems. You will document and deploy test equipment, software, and procedures for in-house production testing. To thrive in this role, you must have previous relatable experience, be self-motivated, and be able to work in a collaborative team-based environment with minimal supervision. Must be able to work in a fast-paced environment with tight deadlines, without sacrificing the quality of work. How you will make an impact: • First responder triage of line down issues related to in-house test systems., • Conduct troubleshooting and failure analysis efforts on the production floor to improve engineering and assembly design as well as supplier quality., • Support continuous improvement and change implementation efforts for in-house test systems., • Develop and refine troubleshooting and repair procedures for test systems., • Ensure that all relevant test system documentation is up to date and properly revision-controlled in PLM., • Training both internal and external manufacturing in the use and support of production test equipment, test programs, and debug processes., • Support station duplication, maintenance, and deployments for repair and service teams. Required Skills & Experience: • Hands-on experience building and debugging electro-mechanical assemblies, • Experience with lab equipment, including oscilloscopes, power supplies, and programmable loads, • Computer/programming skills with experience in Python and command-line and BIOS environments, • Familiarity with system-level debug and failure analysis and driving to root cause, working with engineering., • Self-motivated and able to work in an ambiguous environment with minimal supervision., • Ability to follow assembly documentation and adhere to production protocols, • Strong problem-solving abilities and will to address challenges beyond the primary area of expertise, • Have the flexibility to offset working hours to support occasional weekend shifts. Preferred Skills & Experience: • Associate's or Bachelor's degree in electronics, robotics, mechatronics or related field., • 1-3 years of experience from various industries (robotics, medical, defense) performing systems integration and test functions., • Able to interpret mechanical assembly drawings and provide feedback to mechanical designers., • Able to interpret electrical schematics and cable drawings and provide feedback to electrical designers and technicians., • Test software development using programming languages such as Python in both Windows and Linux environments., • Demonstrated experience with electrical, mechanical, and wire harness diagrams, • Familiarity with Jira or other ticket/issue management systems., • Familiarity with using a PLM (e.g. Arena)., • Familiarity with asset tracking systems such as MaintainX and Asset Panda.Company DescriptionBlackTree Technical Group is a full-service staffing and recruitment firm. Our team consists of an experienced group of Senior Technical Recruiters and Account Managers with over 40 years of industry experience. Our firm prides itself on our technical knowledge, innovative sourcing strategies, and most importantly, a long-standing record of proven results for both clients and job-seekers.BlackTree Technical Group is a full-service staffing and recruitment firm. Our team consists of an experienced group of Senior Technical Recruiters and Account Managers with over 40 years of industry experience. Our firm prides itself on our technical knowledge, innovative sourcing strategies, and most importantly, a long-standing record of proven results for both clients and job-seekers.

Job Description Job Title: Supplier Quality Engineer Job Description The Supplier Quality Engineer leads on-site supplier interventions to resolve performance and quality issues, ensure uninterrupted production, and drive long-term supplier development. This role focuses on analyzing supplier performance, implementing process and quality system improvements, and coordinating cross-functional action plans while maintaining strong relationships with internal stakeholders and external suppliers. Responsibilities • Visit key supplier sites to analyze performance issues and identify root causes related to quality, delivery, capacity, and process capability., • Coordinate and drive improvement strategies at suppliers, including purchase order alignment, process enhancements, and quality system improvements., • Expedite critical parts at critical suppliers to remove roadblocks and ensure zero disruption to the production line., • Work with suppliers to establish clear recovery plans back to purchase order commitments through harmonized lines of balance and ensure daily follow-up., • Align with internal stakeholders in Procurement, Quality, and Operations to prepare a clear mandate for each supplier intervention and ensure a smooth handover when actions are complete., • Identify supplier improvement and risk mitigation opportunities at key supplier sites and manage these improvement initiatives from planning through execution., • Drive execution of supplier performance improvement plans and collaborate with internal and external partners to close action items and sustain results., • Create and support supplier development plans focused on improving quality, delivery performance, capacity, and supplier process capability., • Provide regular, structured feedback to all relevant stakeholders on supplier support progress and status of action plans., • Communicate effectively with internal and external groups, ensuring appropriate and timely escalation of issues when necessary., • Conduct thorough on-site capacity and capability reviews at supplier locations and establish clear, detailed action plans to address identified gaps., • Coordinate personal work travel plans, including making reservations, tracking follow-up, submitting expense claims, and performing related financial reviews., • Manage multiple tasks and projects simultaneously, prioritize activities, and maintain momentum on supplier improvement initiatives., • Apply strong analytical, planning, problem-solving, and interpersonal skills to resolve complex supplier quality and performance challenges. Essential Skills • Minimum of ten (10) years of experience in supplier quality, quality assurance, quality engineering, or a closely related manufacturing environment., • Bachelor's degree in Administration, Industrial Engineering, Operations Management, or equivalent experience., • Strong manufacturing and production knowledge and hands-on experience., • Experience working with sub-tier suppliers and complex supply chains., • Proven ability to work extremely independently and engage new suppliers with minimal supervision., • Experience in project planning and coordination involving several sectors or functions., • Expert-level computer skills in Microsoft PowerPoint, Excel, and Word., • Ability to manage multiple tasks simultaneously and effectively prioritize work., • Strong sense of ethics and a customer-focused mindset., • Strong analytical, planning, and problem-solving skills., • Excellent interpersonal and communication skills, with the ability to influence and collaborate across functions., • Fluency in English, both spoken and written., • Readiness and ability to travel up to 70% of the time. Additional Skills & Qualifications • Experience with engines and aerospace industry environments., • Experience in audit, quality control, and quality engineering activities., • Understanding of business relationships and dynamics between suppliers and manufacturing organizations., • Operational and financial management knowledge is considered an asset., • Experience working with major engine suppliers and aerospace supply chains., • Ability to provide clear, concise reporting and progress updates to diverse stakeholders., • Capability to conduct detailed capacity and capability assessments at supplier sites and translate findings into actionable improvement plans. Work Environment This is a long-term, onsite role based in a Quality Department, offering the potential to convert to a direct position as long-term supplier quality improvements are implemented and sustained. The standard schedule is Monday through Friday, approximately 7:00 a.m. to 4:00 p.m. The position involves frequent travel, up to about 70% of the time, for on-site visits to key supplier locations. The environment is highly collaborative with Procurement, Quality, and Operations teams, and relies heavily on the use of Microsoft Office tools (PowerPoint, Excel, Word) for analysis, reporting, and communication. The role is focused on resolving quality concerns with key suppliers, supporting continuous improvement, and maintaining stable production operations in a professional, results-oriented setting. Job Type & Location This is a Contract position based out of Boston, MA. Pay and Benefits The pay range for this position is $60.00 - $80.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Boston,MA. Application Deadline This position is anticipated to close on Jul 29, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Job DescriptionCompany Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Business School? Harvard Business School (HBS), located on a 40-acre campus in Boston, was founded in 1908 as part of Harvard University. It is among the world's most trusted sources of management education and thought leadership. For more than a century, the School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a dynamic ecosystem of research, learning, and entrepreneurship that includes MBA, Doctoral, Executive Education, and Online programs, as well as numerous initiatives, centers, institutes, and labs, Harvard Business School fosters bold new ideas and collaborative learning networks that shape the future of business. Job Description Be a pioneer in business, education, and global impact by joining the Harvard Business School Digital Transformation team - a “startup with assets,” where you will have the chance to deploy cutting-edge digital and emerging-technology education solutions. Where else can you make a difference at the intersection of cutting-edge technology, world-class education, noble purpose, and timeless legacy? As a Machine Learning and Generative AI Engineer on our team, you will help lead the development of innovative generative AI products that address the needs of our constituents (students, alumni, faculty, researchers, staff, and the community at large). This key technical leadership role requires hands-on expertise across the full machine learning and AI lifecycle. You will collaborate with data scientists, product managers, and data engineers to operationalize AI models in production, drive core platform capabilities, and apply these in a variety of domains. You will also develop and deploy novel approaches to optimize existing AI systems and maximize their business value. You will play a central role in building and scaling our core application platform — the hub within HBS where application developers can share data and code. As custodians of this platform, we will apply best practices and leverage existing repositories to accelerate the path from prototype for GenAI applications and unlock economies of scale. You will be highly influential in advancing our GenAI capabilities, guiding the teams towards impactful and ethical AI. We seek an expert eager to grow and disseminate GenAI expertise across the organization. Duties and Responsibilities: • Architect, build, maintain, and improve a suite of GenAI applications and their underlying systems., • Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA and other parameter-efficient methods., • Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive logging, tracing, and alerting mechanisms., • Build guardrails, compliance rules, and oversight workflows into the GenAI application platform, including approval chains for model updates and staged rollouts for production releases., • Develop templates, guides, and sandbox environments to support onboarding of new contributors and experimentation with emerging techniques, • Ensure user-facing applications built on the GenAI application platform are safe and reliable, enforcing rigorous validation and testing before publishing, and implement a clear peer review process., • Apply an entrepreneurial mindset to identify opportunities to optimize business processes, improve user experiences, and prototype solutions that demonstrate value., • Work closely with data scientists and analysts to develop and deploy new product features across web and mobile applications., • Contribute to and promote sound software engineering practices across the team., • Mentor and educate team members to adopt best practices in writing and maintaining production-grade machine learning code., • Actively contribute to and leverage community best practices and open-source resources., • Monitor, debug, and resolve production issues in a timely manner., • Partner with project managers to ensure projects are delivered on time and within budget., • Collaborate with Technical Product Managers to track algorithmic performance KPIs and prioritize performance improvements based on effort and impact., • Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents., • Complete other responsibilities as assigned.Qualifications Basic Qualifications: • Minimum of five years’ post-secondary education or relevant work experience Additional Qualifications and Skills: • Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired, • Minimum of two to three years’ software development experience with Python and SQL., • Minimum of two to three years of experience building and deploying NLP and deep learning model pipelines into a cloud environment., • Minimum two to three years of experience using PyTorch or Tensorflow, including optimizing code for GPU clusters, • Experience building advanced GenAI workflows such as retrieval-augmented generation (RAG), model chaining, dynamic prompting, and parameter-efficient fine-tuning (PEFT/SFT) using LangChain, LangGraph, or similar frameworks., • Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications., • Experience with embedding models and tuning vector databases (e.g., Qdrant, Pinecone, Weaviate) to improve semantic search and retrieval performance., • Solid understanding of the theoretical foundations of LLMs, including Transformer architectures and self-attention mechanisms., • Experience with relational and NoSQL databases, big data tools (Spark, Kafka), Linux environments, and at least one major cloud provider (AWS, GCP, Azure)., • Familiarity with data pipeline and workflow management tools (e.g., Airflow, Prefect, or Step Functions)., • Strong software engineering fundamentals: unit testing, CI/CD, code reviews, and design documentation. Additional Information • Standard Hours/Schedule: 40 hours per week, • Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position, • Pre-Employment Screening: Identity, Education, Criminal, • Other Information:, • This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice., • We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role., • A cover letter is required to be considered for this opportunity. #LI-KR1 Work Format Details This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment. Salary Grade and Ranges This position is salary grade level 058. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information. Benefits Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to: • Generous paid time off including parental leave, • Medical, dental, and vision health insurance coverage starting on day one, • Retirement plans with university contributions, • Wellbeing and mental health resources, • Support for families and caregivers, • Professional development opportunities including tuition assistance and reimbursement, • Commuter benefits, discounts and campus perks Learn more about these and additional benefits on our Benefits & Wellbeing Page. EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Job DescriptionAbout Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: Lumafield is looking for a Forward Deployed Engineer (FDE) to work directly with customer engineering and manufacturing teams as part of the Applications Engineering team. FDEs deploy to customer sites for engagements that can range from one to ten, or potentially more, weeks, executing the technical scope of work on the customer's floor and serving as the on-site face of Lumafield. Our travel policy supports standardized trips home during longer engagements. This role becomes an expert in all aspects of the Lumafield platform — all hardware product lines, Voyager and related custom software— and applies that expertise hands-on at the customer site. FDEs may run scans, perform Voyager analysis, support ML model implementation, and drive customer training and adoption. Engagements are defined in a Statement of Work (SOW), managed with Project Managers, and supported by the broader Applications Engineering team in addition to Lumafield's product and engineering organizations. Day-to-day execution at the customer site is owned by the FDE. Because FDEs are often the only Lumafield representative on the ground for weeks at a time, excellent customer-facing communication and the ability to operate autonomously are core requirements of the role.What you'll do: • Deploy to customer sites for engagements, executing the agreed scope of work per the SOW, and serve as Lumafield's primary on-site technical representative., • Operate Lumafield scanners on the customer floor, including planning and running scans across a wide range of parts, materials, and inspection objectives., • Perform analysis in Voyager, including defect detection, dimensional measurement, assembly verification, and other workflows aligned to the customer's use case., • Support ML model implementation at the customer site, including data collection, validation, and integration into the customer's production workflow, in partnership with Lumafield's ML and product teams., • Support customer training and adoption to build capability on the customer's team., • Partner with Project Managers to track scope, timeline, and deliverables, and surface risks early when on-site reality diverges from the plan., • Collaborate with other Application Engineers and Lumafield teams to resolve technical issues encountered on-site and bring back what you learn for continuous improvement., • Document scans, analyses, model deployments, and training sessions so that customers can build on the work after you leave.About you:, • B.S. in engineering, • 3+ years of professional experience in solution engineering, or in manufacturing, process, or industrial engineering in a production environment., • Familiarity with manufacturing processes, which may range from machining, casting, injection molding, additive manufacturing, stamping, or assembly, • Have direct experience with continuous improvement and process control methodologies such as Lean, Six Sigma, SPC, or PFMEA, and how they intersect with inspection and quality work., • Excellent verbal and written communication skills, including the ability to lead technical conversations, run trainings, and represent Lumafield independently on a customer site for extended periods., • Comfortable with an extended-deployment travel pattern, including engagements of multiple weeks at customer locations, supported by Lumafield's travel-home policy.Bonus points:, • Hands-on experience with industrial CT, CMM, or other dimensional metrology or NDT workflows., • Familiarity with GD&T, first-article inspection (FAI), or other inspection processes., • Manufacturing, Process, or Industrial Engineering experience in a production manufacturing environmentThe base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P&C industry communicates, making those moments faster, easier, and more empathetic for carriers and the customers they serve. We build AI-powered software that keeps everyone in the claims conversation informed and connected. If you believe insurance can combine operational excellence and automation with a human touch, we'd love to meet you. We are looking for a Sr. DevOps Engineer II to help us build and scale the infrastructure that powers both our core platform and our rapidly growing agentic AI services. You will be at the intersection of cloud infrastructure, AI operations, and platform engineering — building the foundation that enables Hi Marley to operate reliably at enterprise scale while deploying autonomous AI agents in regulated insurance workflows. You'll also be expected to raise the bar for the teams around you — setting infrastructure standards, driving technical decisions in ambiguous situations, and helping less experienced engineers grow their operational instincts.Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week. What You'll Do: • Design and operate cloud infrastructure on AWS that supports both our core SaaS platform and our agentic AI services, ensuring reliability, scalability, and cost efficiency, • Build and maintain AI/ML infrastructure and monitoring for LLM-powered agentic services, • Establish and enforce infrastructure-as-code standards using Terraform, defining the patterns other engineers follow for environment parity, drift detection, and automated compliance validation, • Implement observability beyond availability — data integrity monitoring, SLO frameworks with error budgets, and automated regression detection for both platform and AI services, • Build deployment automation including pre-deployment verification, migration script validation, and codified rollback procedures to eliminate human-memory dependencies, • Support big data infrastructure: data pipelines, warehousing (Redshift), and analytics tooling that enables reporting, BI, and AI training workflows, • Implement security and compliance controls for AI workloads operating in regulated carrier environments — including audit logging, access governance, and configuration management, • Drive environment parity across all infrastructure with automated drift detection and remediation, • Improve disaster recovery capabilities: documented and rehearsed DR procedures, defined RTO/RPO by service tier, and tested recovery runbooks, • Lead architecture reviews for new services, integrations, and AI agent deployments — partnering with engineering, product, and security to ensure infrastructure decisions are sound before they ship, • Innovate on developer experience: reduce friction in testing environments, CI/CD pipelines, and local development workflows, • Act as a technical anchor for infrastructure decisions across teams — providing clarity when requirements are ambiguous and helping the organization converge on consistent, scalable approaches What We're Looking For: • 6-+ years of DevOps/SRE/Platform Engineering experience, • 2+ years of experience building or operating AI/ML infrastructure (model serving, inference, LLM orchestration, or agentic systems), • Bachelor's degree in Computer Science, Engineering, or equivalent experience, • You have built and operated infrastructure for traditional and AI or ML workloads at a SaaS company, • You naturally step up to lead technical conversations, and people across teams seek you out when infrastructure decisions get complicated, • You have deep experience with AWS cloud services (ECS, Lambda, SageMaker, Bedrock, S3, DynamoDB, Redshift, or equivalent), • You have strong infrastructure-as-code skills with Terraform and understand how to manage state, modules, and multi-environment configurations, • You understand data infrastructure: pipelines, warehousing, ETL/ELT, and how to support analytics at scale, • You think about observability as more than dashboards — you care about data integrity, SLOs, error budgets, and catching silent failures, • You have experience with compliance-sensitive environments and understand why audit trails, access governance, and change management matter, • You are comfortable operating in a fast-moving environment where AI capabilities are evolving rapidly and infrastructure decisions have regulatory implications, • You communicate well with both engineering and non-technical stakeholders, • Track record of leading cross-team technical initiatives and mentoring engineers on infrastructure and operational best practices, • Strong proficiency in at least one programming language (Python, Go, TypeScript, or similar), • Experience with:, • Container orchestration (ECS, EKS), • Monitoring and observability platforms (Datadog, CloudWatch), • Data infrastructure (Redshift, or similar data warehousing; Airflow, dbt, Dagster or similar pipeline tools) is a strong plus, • Experience in regulated industries (insurance, financial services, healthcare) is a strong plus, • A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$119,000–$221,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It's most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including: • Equity grants for all employees, • A 4% matching 401(k) program, • Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week, • Monthly wellness stipend, • Paid parental leave, • A flexible vacation policy - we all work hard and take time when we need itWho We Are: At Hi Marley, our culture is built on three core values that every employee embodies: • Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk., • Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere., • Ubuntu ("I am because we are") – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together.Life at Hi Marley:Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We're proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose., • A fun, lively startup culture that embraces creativity and innovation, • Core values-based leadership that guides our decision-making and daily interactions, • A culture of engagement, diversity, inclusion, and belonging — everyone's voice matters, • Flexible, hybrid work environment that values balance and trust, • Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization, • Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please review the documents under "E-Verify Poster" here: https://e-verify.uscis.gov/web/OnlineResources.aspx

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. SC 2.0 is the engine powering our vision. Appian's Solutions Consulting team is in the midst of an exciting transformation—redefining what it means to be a trusted advisor in today's fast-paced, mission-driven environment. Our SCs don't just demo features—they tell stories, co-create with customers, and help shape strategy with technical credibility and business insight. Read More About SC 2.0 Here You can listen to our Global SC leader, Gregg Aldana discuss SC 2.0 here Appian's Game Changing Solutions Consulting Team - Do you enjoy solutioning with an award winning technology? Do you like working alongside the smartest and most creative people in the tech industry? Ready to take your career to the next level and have a tremendous amount of fun in the process? Come and join one of the most exciting, energetic and emerging areas of Appian that is poised to fuel the next stage of growth of this ambitious company and your career: Solutions Consulting. The Global Solutions Consulting organization at Appian is a team like no other out there. We are self-starters that are passionate about our mission and are redefining what it means to work in the Pre-Sales or Sale Engineering profession. Whether you are a seasoned veteran of Solution Consulting for many years or looking to pursue a new career in this area, this is THE TEAM…..THE COMPANY and THE MOVEMENT you want to be a part of. Appian Solution Consulting starts with the "Why" behind the mission critical solutions that are driving success for our customers. Through a combination of creative persona-based storytelling, technical solutioning, and business consulting, Appian's Solution Consultants are the driving force behind helping customers understand the business value that Appian's technology can provide during the sales cycle and beyond. Appian's Solution Consultants are the trusted advisors for customers, partners, sales, product, marketing and the company's leadership. Join this exciting team today to begin fueling your career! In this role, you will be a senior Solutions Consultant supporting pharma, biotech, medtech, and CRO clients. While you do not need to be a scientist, you should understand how Life Sciences organizations operate. To be successful in this role, you need • Deep and recent expertise in the Life Sciences industry that is demonstrated through knowledge of Life Sciences business processes such as Clinical Development, Quality Management, Regulatory Affairs, Pharmacovigilance, Manufacturing, and/or Medical Affairs., • Experience supporting digital transformation initiatives within pharmaceutical, biotechnology, medical device, or contract research organizations., • Understanding of GxP environments, FDA regulations, 21 CFR Part 11, and validated system requirements strongly preferred., • Experience working in an enterprise software sales position OR a client-facing technology advisory role within a Life Sciences institution or ISV (e.g., in transformation, architecture, or strategy)., • Technical depth to respond to all functional and technical elements of RFIs/RFPs, • Ability to strategically problem-solve by thinking outside-the-box to create innovative solutions that address complex Life Sciences' challenges., • Technical expertise to identify how Appian can fit into the wider organization, • Strong verbal and written communication skills; experience with customer interaction, requirements analysis, and presentations, • Ability to have technical discussions with Appian's product team., • Familiarity with production environments (application servers, web servers, databases) Basic Qualifications: • Bachelor's or Master's degree in Information Systems, Engineering, Computer Science, or a related field or equivalent experience, • 5+ years as a successful Pre-Sales Engineer OR 6+ years in a Professional Services/Consulting role, with a significant focus (3+ years) in the Life Sciences Industry, • Up to 70% travel to customer locations throughout the assigned region You may also have: • An advanced degree (MS, MBA, PharmD, MPH, or PhD), • The ability to fluently speak a second language, preferably Portuguese #LI-MB1 The base salary range per provided represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$125,000—$250,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job DescriptionAbout Lumafield: Lumafield was founded in 2019 to upgrade manufacturing. We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively. We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We’re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again. Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA. About the role: The Hardware Group is looking for a Senior Mechanical Engineer to help design, prototype, and refine the next generation of our industrial CT scanning systems. You’ll work across disciplines - from motion systems and structures to system integration and user-facing features - to develop reliable, manufacturable, and innovative solutions. Our product is a complex hardware-software system. Success in this role requires systems thinking, hands-on prototyping, and the ability to bring structure to ambiguous design problems. You’ll collaborate with electrical, firmware, systems, and software engineers to create hardware that’s not just functional, but delightful to use. This is a hands-on, in-person role based in our Cambridge, MA office.What you'll do: • Lead the technical aspects of mechanical design for complex assemblies and subsystems, developing well-scoped milestones to deliver on quarter-scale goals., • Follow your inventions through the full product lifecycle, from concept and design to first engineering builds and transfer to mass manufacturing., • Accelerate project timelines by leveraging your technical expertise to make informed tradeoffs in scope and execution., • Decompose business goals into technical solutions that can be executed by multiple individuals on the team., • Drive cross-functional collaboration with stakeholders to identify technical needs and develop effective engineering goals., • Actively work with and mentor more junior colleagues to help them refine their craft.About you:, • Can identify appropriate solutions to ambiguous, under-defined, and open-ended problems., • Excel at navigating ambiguity and remaining resilient through the ups and downs of a project., • Effectively communicate and coordinate requirements with other teams, tailoring your message to the audience., • Consider the short- and long-term impacts of large technology choices., • Serve as a role model for other engineers, and model a standard of excellence., • Have an enthusiasm for utilizing AI tools to their fullest to improve quality and increase speed., • Typically have a bachelor's or master's degree and multiple years of relevant experience executing a broad range of activities directly applicable to the role.Bonus points:, • Experience leading projects through a complete product lifecycle, including through early manufacturing and into mass production., • Experience designing motion systems, precision mechanisms, or mounting for imaging systems., • Background in industrial automation, inspection, or scientific instrumentation., • A portfolio of mechanical designs, prototypes, or shipped products you can share.Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description (Hybrid) Description Do you like a challenge? Do you enjoy programming and working with electrical/mechanical systems? Consider a career as an Automation Engineer at DMC, with opportunities available in 13 of our office locations nationwide (excluding Austin). Automation Engineers at DMC apply their programming skills and understanding of engineering fundamentals to provide solutions that involve developing software to interface with and control hardware. Our engineers work independently as well as collaborate with teams and clients, including maintaining daily communication, assisting with project management and developing business relationships. About DMC DMC is a leading engineering consulting firm, delivering high-caliber engineering and custom software development services globally. Specializing in innovative solutions for manufacturing, testing, and product development, our expertise spans industries from aerospace to consumer-packaged goods to healthcare, and more. Our engineers excel in staying ahead of cutting-edge technologies and delivering top notch solutions. We prioritize technical excellence and cultivate a collaborative environment for independent and team-based work, reflecting our commitment to professional growth and providing forward-thinking solutions to clients. Responsibilities • Programs applications in accordance with DMC programming standards and best practices to meet and exceed customer requirements, • Commissions solutions at customer sites (domestic/international travel as needed), troubleshooting electrical and mechanical systems, • Works with most industrial PLC/HMI/SCADA platforms (Siemens, Rockwell, Ignition, etc.), • Continuously learns relevant technologies with guidance, gaining knowledge in sales, business development, and project processes, • Supports system architecture design, performs engineering tasks at all stages, and takes on both leading and supporting roles, • Mentors and technically advises new team members, • Conveys deliverables to customers through various communication methods and develops and maintains relationships Requirements Must be authorized to work in the U.S. without employer sponsorship now or in the future. • Bachelor of Science in Mechanical, Electrical, or Computer Engineering (or related field), • Minimum GPA of 3.4, • 5-7+ years of relevant experience, • Proficient in programming, including text-based languages and object-oriented concepts, • Quickly learns new technologies, understands complex systems, and builds on established patterns and models, • Efficiently manages multiple projects, works directly with customers, and responds to their needs, • Experience designing projects in industrial automation systems (e.g. PLCs, Motion Control, Process Control, HMI, SCADA, Robots, Machine Vision, etc.), • Interest in working across a variety of industries, • Experience leading and/or mentoring technical project teams (preferred), • Strong written and verbal communication skills, with the ability to develop project proposals, • 25% - 40% travel Compensation: Starting compensation is based on industry, relevant experience and location standards. • Engineer Levels II & III (3-5 years relevant experience): $95,000 - $115,000, • Engineering Levels III & Above (5-10 years relevant experience): $115,000 - $165,000+ Additional Information: • Benefits/Culture/Bonuses and More!, • Office Locations, • DMC Website, • Engineering Blogs, • Additional Career Opportunities #LI-Hybrid

Job Description Alarm.com provides the leading cloud platform for smart security and IoT, powering millions of home and business experiences. Our systems integrate devices, cloud services, APIs, and event-driven workflows into a unified ecosystem used by internal teams and external partners around the world. The Device Lifecycle & Integrations (DELI) team builds the platforms and services behind the connected devices powering millions of Alarm.com homes and businesses. Role Summary We are hiring a Software Engineer II to contribute to the design and development of backend services, APIs, and full-stack features that power Alarm.com's device integrations. In this role, you will work across the full development lifecycle — from requirements and design through implementation, testing, and deployment — with guidance from senior engineers and team leads. You will take ownership of well-scoped features and contribute to systems that power connected devices for millions of users. As an engineer on the DELI team, you will collaborate closely with Product Managers, TPMs, and engineers across the organization. You will develop your technical depth, grow your understanding of distributed systems and device integration patterns, and contribute meaningfully to a platform that serves millions of devices. What You'll DoDesign & Architecture • Implement backend components, APIs, and event-driven workflows that are reliable, maintainable, and aligned with platform architecture., • Contribute to technical design for well-scoped features with guidance from senior engineers., • Translate requirements into technically sound solutions consistent with existing patterns., • Participate in design reviews, offering input and learning from team feedback.Implementation & Delivery, • Write high-quality, maintainable, and well-tested code for backend services used in production at scale., • Contribute to event-driven data pipelines (e.g. Kafka), with a focus on reliability and correctness., • Deliver work through the full development lifecycle: design → implementation → validation → iteration., • Debug production issues with support from senior engineers, implementing fixes that improve long-term stability.Operational Excellence, • Follow team practices for monitoring, alerting, and operational readiness to ensure systems remain healthy., • Contribute to observability of services you build, including logging, metrics, and alerting., • Support DELI's work to track and understand device integration outcomes and system health.Collaboration & Growth, • Work closely with senior engineers, Product Managers, and TPMs to understand requirements and deliver quality solutions., • Participate in code reviews — both as a reviewer and as someone welcoming feedback to grow., • Engage in cross-team technical discussions, raising questions and surfacing potential issues early., • Actively develop your skills across backend, full-stack, and distributed systems domains.Contributing Broadly, • Identify opportunities to improve code quality, reliability, and maintainability within your area., • Contribute to documentation, onboarding guides, and engineering best practices., • Clearly articulate design decisions, explaining tradeoffs to peers and stakeholders.What We're Looking ForRequired Qualifications, • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience., • 2+ years of professional software development experience., • Strong object-oriented programming skills., • Experience with database design and development., • Experience creating and maintaining unit tests., • Familiarity with building and/or consuming RESTful APIs., • Strong communication skills and ability to collaborate effectively with engineers and cross-functional teammates., • Experience using AI-assisted development tools (e.g. GitHub Copilot, ChatGPT) to streamline development while maintaining engineering standards., • Ability to review and validate AI-generated code, tests, and documentation for correctness and maintainability., • Exposure to distributed systems or large-scale production environments.Preferred Qualifications, • Experience with .NET/C# and SQL Server is strongly preferred, as this is the foundation of our backend stack., • Exposure to event-driven systems (Kafka or similar)., • Experience with Test-Driven Development (TDD) and automated testing frameworks (unit, integration, end-to-end)., • Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), or cloud platforms., • Experience or interest in IoT, device communication protocols, or connected hardware platforms.The Impact You'll Have, • You'll contribute to backend systems that directly shape how devices integrate with Alarm.com's platform., • You'll grow your engineering skills within a team focused on device-facing reliability, consistency, and scale., • You'll help deliver features and improvements that real users experience through their connected devices every day., • You'll take on meaningful ownership of well-scoped features and systems, with room to grow your scope and autonomy over time. Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time. WHY WORK FOR ALARM.COM? • Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers., • Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!, • Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business., • Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work., • Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week. COMPANY INFO Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people. For more information, please visit www.alarm.com. COMPANY BENEFITS Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment. Alarm.com is an Equal Opportunity Employer In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision. Notice To Third Party Agencies: Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com. The base salary range of this opportunity is listed below and is determined within a range based on factors including qualifications, location and experience. This allows opportunity for growth and development within the role. The base salary offered is part of a total compensation package. Base Salary Range$115,000—$125,000 USD

Job Description About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Embedded Systems Engineer In this role you will develop computing systems for humanoid robots. This may span compute platform design (ARM, SoC, microcontrollers), firmware and BSP bring-up, and kernel-level Linux work. Work will focus on a robot payload that intakes LiDAR, camera, IMU, and tactile sensor information and then outputs joint manipulation and locomotion commands that let the robot stand, move, and use its hands. You will partner closely with the ML team building the robot's software brain, ensuring the compute platform can run their perception and manipulation models with the latency and throughput they need. The system is designed to operate across a diversity of humanoid robot platforms, so your work will generalize across different hardware rather than target a single robot. You will collaborate closely with the mechanical, electrical, and ML teams to build tightly integrated, safety-conscious solutions ready for deployment in the field. What You Will Get To Do 1. Backpack Compute Platform Compute Platform Design: Design and select the embedded compute platforms (ARM, SoC, microcontrollers) that power the humanoid payload, balancing capabilities against SWaP constraints. Firmware & BSP Bring-Up: Write and customize bare-metal and RTOS firmware, board support packages (BSPs), and bootloaders for the humanoid payloads computing hardware. Kernel-Level Development: Work at the Linux kernel level to support real-time performance and reliable operation of the backpack's compute stack. Testing & Diagnostics: Conduct thermal profiling, power draw analysis, and latency measurement, and implement watchdogs and health checks for the compute stack. 1. Sensor & Actuator Drivers Perception & State Sensor Drivers: Adapt, integrate, and where needed develop drivers for cameras, LiDAR, and IMUs that feed the backpack's compute platform with real-time perception and state-estimation data. Motor, Joint & Tactile Drivers: Adapt, integrate, and where needed develop drivers for motors, joint actuators, and tactile sensors, supporting low-latency control and feedback for humanoid manipulation and locomotion. Communication & Timing: Bring up wired (Ethernet, CAN, GMSL, SPI, I2C) and wireless interfaces with deterministic timing (PTP, PPS) across the payload. 1. Manipulation & ML Integration ML Team Partnership: Partner closely with the ML team building the robot's software brain to ensure the compute platform meets their latency, memory, and throughput needs. Manipulation Data Pipeline: Build the data pipeline connecting camera, LiDAR, IMU, and tactile input to joint manipulation commands, from raw sensor capture through to actuator control. Edge ML Enablement: Support accelerated inference on the backpack so ML models can interpret sensor data and issue robot commands in real time. ROS/DDS Middleware: Expose driver and sensor data through ROS/ROS2 and DDS interfaces so the ML team's software brain can consume it in real time. 1. Cross-Platform Generalization & Collaboration Platform Abstraction: Design the backpack's compute and software architecture to generalize across a diversity of humanoid robot platforms. Cross-Team Collaboration: Work closely with mechanical, electrical, and sensor engineers to develop a tightly integrated backpack payload. Technical Leadership: Lead the technical direction of backpack compute development, from architecture decisions through implementation. Safety & E-Stops: Implement e-stop circuitry and safety monitoring on the backpack platform, laying the groundwork for functional safety as the fleet matures. What You Have Education: B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: Minimum of 3+ years of hands-on experience with embedded systems.. We welcome candidates across mid-level to senior and staff levels. Programming: Proficient in C++ and Python for embedded and application-level development. Embedded Systems Experience: Experience bringing up and customizing bare-metal and RTOS firmware, Linux kernel and device drivers, and board support packages (BSPs), across platforms such as Jetson or custom SBCs. Driver Development: Experience developing drivers for cameras, LiDAR, IMUs, tactile sensors, or motors, connecting sensors and actuators to embedded compute. ML/Edge Acceleration: Familiarity with GPU, TPU, or NPU offload and frameworks such as CUDA or TensorRT for edge inference, ideally supporting manipulation or perception models. Real-Time Communication Protocols: Hands-on experience with Ethernet, CAN/CAN-FD, SPI, I2C, UART, USB, or PCIe, wireless links, and timing protocols such as PTP. ROS & Middleware: Familiarity with ROS/ROS2 and DDS for exposing sensor and actuator interfaces to higher-level software. SWaP-Constrained Design: Experience designing compute hardware and firmware under tight size, weight, and power (SWaP) constraints, such as wearable or backpack-style payloads. What Will Set You Apart Humanoid Robotics Experience: Experience developing embedded systems, firmware, or drivers for humanoid or other legged robot platforms. Manipulation & Robot Control Knowledge: Familiarity with joint manipulation, motor control, and how sensor data flows into robot commands such as standing or grasping. Kernel-Level Development: Experience with Linux kernel modules, device driver development, kernel-level debugging, PREEMPT_RT, and deterministic, low-jitter timing in production systems. Safety-Critical Systems: Experience implementing e-stop circuitry, safety monitoring, or other safety-critical embedded systems for robots operating near people. Experience with functional safety standards such as ISO 13849 or ISO 10218 for robots operating in human environments. ML Collaboration: Experience working directly with ML or perception teams to meet model latency, memory, and throughput requirements on embedded hardware. Compensation The salary range for this role is $135,000-$185,000. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time. Field AI Onsite Work Philosophy At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Irvine, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We are dedicated to fostering a diverse and inclusive workplace and encourage applicants from all backgrounds to apply. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on advancing our perception stack by refining our data engines, architecting robust 2D/3D vision models, and deploying them to production hardware to ensure our robots handle the chaotic reality of the physical world.Responsibilities: • Architect Multi-Modal Vision Systems: You will design and train models that fuse 2D inputs with 3D geometry to solve complex grasping and scene understanding tasks., • Lead End-to-End Model Deployment: You will own the transition from research to reality. This includes model graph optimization, quantization (TensorRT), and runtime integration to ensure low-latency inference on our edge compute hardware (NVIDIA Orin)., • Drive Technical Excellence: As a senior member of the team, you will conduct rigorous code reviews, mentor junior engineers, and contribute to the strategic perception roadmap., • Own the Data Strategy: You will take ownership of our existing labeled dataset and pipeline. You will identify bottlenecks, improve data quality, implement active learning strategies to systematically resolve edge cases and improve model robustness., • Ensure Production Reliability: You will write high-performance production code (Python/C++) to seamlessly integrate perception outputs into the broader robotic control stack, prioritizing safety and system stability.Skills:, • 5+ Years of Experience in Computer Vision and Machine Learning, with a track record of shipping ML products to the physical world (Robotics, AV, or IoT)., • Expert-level Python and PyTorch skills. Working knowledge of C++ for deployment and system integration., • Experience with 2D Vision (YOLO, MaskRCNN, Transformers) and 3D Vision (PointNet, grasp generation, multi-view geometry, camera calibration)., • You are proficient with inference optimization tools such as TensorRT, ONNX Runtime, or CUDA to maximize hardware utilization., • You have experience curating large-scale datasets, detecting statistical bias, and automating quality assurance within the ML pipeline., • You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders., • Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools.Pay at PickleAt Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle RobotWant to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor—tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About the Team: STR's Space Missions and Sensing (SMS) Sector's mission is to develop and apply innovative technology to space-based sensing, space control, and counter-sensing. Within the SMS Sector, the Space and Counter Space (SCS) team is at the forefront in electronic warfare technologies. Our team strives to bring critical and transformational capabilities to the warfighter through creative ideas and techniques. To realize the value, the team develops both engineering and operational prototypes to demonstrate capabilities in real world environments. STR takes pride in our ability to address warfighter operational needs. Our core team includes principal investigators, program managers, signal processors, SW developers, FPGA expertise, RF and Electromagnetic engineers, and mechanical design experts. Our facilities support on site build and test (benchtop, anechoic chamber, and over the air). We collaborate with a dynamic group of research engineers across STR, academic researchers, and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. The work program is growing, with strong demand signal from our sponsors. We are seeking mechanical engineering design, development, and integration support for advanced and operational prototype systems. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact in national security, we invite you to join us. The Role: As a Senior Mechanical Design Engineer, you will have the opportunity to work with a team to design, build, integrate, and test sensing and counter sensing systems for radar, electronic warfare, sonar, and other applications. Systems predominantly field deployable prototypes with the objective of transitioning to low-volume product systems. Who you are: • Proficient in Computer-Aided Design (CAD) tools like SolidWorks, enabling precise design and visualization of mechanical components, • Knowledgeable in FEA techniques to simulate physical phenomena and predict how products will react to real-world forces, • Proficient in planning, executing, and monitoring and reporting project progress. Strong record keeping skills that trace design evolution, • Experience in rapid prototype development to test and validate designs before full-scale production, • Strong ability to work collaboratively within multidisciplinary teams, collaborating with the team to quantify goals, system performance objectives, metrics, dependencies, and risks to guide our work, • Understanding of industry regulations and standards ensures that designs comply with safety and environmental guidelines, • Familiar with development of performance trade studies and analyses of proposed hardware architectures. Systems predominantly field deployable prototypes with the objective of transitioning to low-volume product systems, • Ability to convey complex technical information clearly and effectively to diverse audiences, including for customer review., • This position requires the ability to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is required by U.S. Government, • BS in Mechanical Engineering, Applied Mathematics, Physics, or a related technical discipline with 5 years of experience, or MS with 3 years of experience, • Strong Mathematical, troubleshooting, written, and verbal communication skills Even Better: • Active Secret or TS/SCI Clearance, • Advanced degree in Mechanical Engineering, Applied Mathematics, Physics, or a related technical discipline, • Prior design experiences in: Electronics packaging for harsh environments, rapid prototyping, antenna and RF system design, field testing., • Background in designing for manufacturability, producibility, and cost constraints Pay Information Full-Time Salary Range: $135,000 - $165,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Structural Engineer - Mission Critical Our Structural Engineering team is looking to add a talented engineer to our team. As a Structural Engineer at HED, you bring 8+ years of professional experience and hold a Professional Engineer (PE) license, with licensure as a Structural Engineer (SE) preferred. About HED We are a team that is full of ideas, experience, creativity, passionate opinions, insatiable curiosity, uncompromising integrity, commitment, and skill. Our culture is about aspiration, embracing change and challenges, listening to (and learning from) each other, encouraging continual learning, and inspiring collective growth. As an inclusive, integrated architecture and engineering practice, we value the diversity of perspectives, experiences, abilities, and expertise that advance both the work we do, and the world we share. Position Summary You are recognized as a highly experienced technical leader who drives design excellence, quality, and innovation on projects of significant complexity. You lead structural efforts across sectors, mentor project teams, and contribute strategically to the growth and evolution of HED’s engineering practice. With broad technical knowledge and sector expertise, you act as a trusted advisor and resource within multidisciplinary teams. Essential Functions: • Lead and manage structural design for large and complex building projects from concept through construction., • Apply advanced engineering judgment and analytical tools (RAM, RISA, ETABS, Enercalc) to deliver efficient, resilient, and integrated structural solutions., • Direct the preparation and quality review of engineering calculations, specifications, construction documents, and reports., • Coordinate and collaborate with architects, MEP engineers, civil consultants, and other stakeholders to deliver fully integrated, high-performance design solutions., • Lead or co-lead internal and external project meetings, client presentations, and key stakeholder engagements., • Provide expert-level support during construction administration, including site visits, responses to RFIs and submittals, and resolution of field conditions., • Interpret and apply applicable codes and standards (IBC, ASCE 7, ACI 318, AISC 360, NDS/SDPWS, TMS 402) to ensure compliance, safety, and design integrity., • Support the development of discipline standards, templates, tools, and best practices., • Mentor and guide junior and mid-level structural team members; contribute to talent development, technical training, and performance feedback., • Champion innovation, sustainability, and resilience in structural system design and material selection., • Maintain an active presence in the industry through technical knowledge-sharing, research, and professional engagement., • Provide project-level QA/QC oversight and participate in firm-wide quality initiatives., • Act as a sector resource, applying specialized knowledge while continuing to work across markets as needed., • Engage in the Discipline Work Plan process, including delegation, planning, and oversight of discipline workload and task completion., • Perform other duties as assigned by the Discipline Leader or sector leadership. Requirements • Bachelor’s Degree in Civil Engineering, Structural Engineering, Architectural Engineering or similar related field, from an ABET/EAC accredited institution., • Licensed Professional Engineer (PE) required; licensed Structural Engineer (SE) preferred., • 8+ years of structural engineering experience in a professional setting., • Mastery of structural design and analysis software (RAM, RISA, ETABS, Enercalc)., • Proficiency in Revit (core) preferred; proficiency in Bluebeam, Microsoft Office Suite, and collaboration tools required., • Comprehensive knowledge of relevant codes, standards, and engineering fundamentals., • Demonstrated experience leading complex, interdisciplinary projects., • Strong leadership, communication, and client-facing abilities., • Proven record of mentoring and team development., • Passion for integrated design and a commitment to quality, innovation, and sustainability. Physical Requirements • Prolonged periods of sitting at a desk and working on a computer., • Must be able to effectively communicate in writing and verbally via phone, video conferencing, and in-person., • Visual acuity to perform responsibilities. Work Environment • We embrace a hybrid model that promotes both autonomy and collaboration, including the freedom to work from home, with regular in-office days to connect with teammates and build culture., • The office is a professional, open-space environment for collaborative and independent work. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Job DescriptionCompany Description CRB's over 1,100 expert professionals drive innovative, life-changing and life-saving solutions for manufacturers in the life sciences and food and beverage industries. Our mission, vision, and core values put client satisfaction and employee experience at the center of everything we do. As an AEC Firm we proudly specialize in industries that inherently carry important social responsibility - we recognize our impact and influence in the communities we serve and pursue corporate responsibility through the lens of people, community, and planet. From oncology and rare disorders to COVID-19 or alternative proteins, our design and construction projects are pioneering solutions addressing important issues such as food scarcity and global health. Job Description The Mechanical Engineer focuses on the design and engineering of HVAC and mechanical utilities for new buildings, renovations/additions and processes. The individual possesses demonstrated ability to manage multiple complex tasks, establish priorities and direct the work of others. This position is responsible for overseeing the Mechanical discipline scope of work and managing the discipline budget on small to medium projects of intermediate complexity, and coordinating with internal and external architects and engineers, as well as clients, construction managers, subcontractors, vendors and manufacturers. Typical tasks and deliverables include load calculations, utility assessments, energy modeling, design reports, code evaluations, plans, P&IDs, schedules, installation details, equipment and system selection and specification, and coordination with manufacturers and trade partners. Tasks will include utilizing software for building information modeling, computer-aided drafting and engineering calculations. Project work involves directing design activities for all levels of design such as studies, conceptual and schematic design, design development, construction documentation and construction administration. Responsibilities • Designs mechanical systems of intermediate complexity in conformance with code requirements and in coordination with other design disciplines., • Manages multiple complex tasks, establishes priorities and directs the work of others. The Engineer may work independently or at the direction of the Lead Engineer or Project Manager., • Works closely with other architects, engineers and designers, as well as other internal and external team members to ensure a coordinated, constructible and complete design., • Develops narratives, reports and construction drawing packages and writes construction specifications on projects of intermediate complexity and with little oversight., • Supports construction activities such as RFI responses, submittal reviews, punch list development and construction progress reports., • Plans and directs work and manages a project mechanical design budget on projects of intermediate complexity., • Supports proposal development under the supervision of a Lead or Senior Engineer., • Identifies design requirements, translates those requirements into scope, and documents the open issues, project decisions and actions required to consistently advance the design., • Identifies basic non-compliant existing conditions during site walks and construction field surveys., • Develops basic internal mechanical design and engineering training presentations., • Utilizes various platforms to execute work, such as Microsoft Office products and available BIM software., • Attends professional development activities., • Leads quality check efforts for projects of intermediate complexity and drives overall project quality., • Provides mentorship to less experienced Mechanical Engineers and/or Designers., • Leads systems design programming and master planning on intermediate projects with support from Design Lead or Senior Engineer., • May work on one or more projects simultaneously as directed by a Supervisor., • Acts as the Engineer-of-Record for small to medium projects when acting as Lead Mechanical Engineering RoleQualifications, • ABET-accredited Bachelor’s degree in Mechanical Engineering or Architectural Engineering (with a mechanical focus), • Minimum of 5 years of experience, • Professional Engineer registration in good standing, • Relevant AEC (Architecture, Engineering, Construction) firm experience, • Intermediate experience with performing engineering calculations, and developing and implementing HVAC, mechanical utility and piping systems designs Preferred Qualifications • Life Sciences (Pharmaceutical, Biotech, Laboratory) or Food & Beverage industry experience, • Intermediate knowledge of GMP manufacturing environments, • Proficiency in Revit and AutoCAD, • Proficiency in Microsoft Office suite and Bluebeam Revu, • LEED, WELL or other sustainable design accredited professional or, experience with sustainable design, • Intermediate experience with using and applying mechanical/plumbing/fire/building codes, • Intermediate experience with using and applying industry standards (ASHRAE, SMACNA, ISPE, FDA, ISO, NFPA, OSHA, etc.), • Intermediate experience conducting and leading field surveys of existing conditions and support of field reporting, • Intermediate experience in plumbing design, • Basic experience using Revit plugins such as Enscape and Unifi, • Basic experience building parametric workflows using Dynamo, Grasshopper, and/or Rhino within Revit, • Proficient with intermediate internal and external cross-discipline project team coordination, • Proficient with intermediate coordination with construction trade partners, vendors and manufacturers, • Basic experience with troubleshooting issues with mechanical equipment and system Additional Information All your information will be kept confidential according to EEO guidelines. CRB is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. Employment is contingent on background screening. CRB does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of CRB without a prior written search agreement will be considered unsolicited and the property of CRB. Please, no phone calls or emails. CRB offers a complete and competitive benefit package designed to meet individual and family needs. If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Job Description The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced Vision-Language-Action (VLA) models that perceive our vehicle's surroundings to identify hazards and make driving suggestions. You will utilize VLA models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions.In this role, you will... Design and train Vision-Language-Action (VLA) solutions for robotaxis Lead end-to-end data strategy, including mining, auto-labeling, and dataset construction to power our ML flywheel Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following. Utilize our large-scale data pipelines and ML infrastructure to research, prototype, and deploy solutions that improve driving behavior Partner with cross-functional teams to integrate perception signals Qualifications MS or PhD in Computer Science or related field Background in deep learning solutions for VLM and VLA models Track record in post-training large-scale models, CPT, SFT, RL Hands-on experience with production ML pipelines, including dataset creation, training frameworks, and metrics Expertise in Python libraries (PyTorch, NumPy, Pandas, VLLM) Bonus Qualifications Deep knowledge of cutting-edge computer vision techniques Publications in top-tier conferences (CVPR, ICCV, RSS, ICRA) Experience with integrating large language models to various tasks. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: Davenergy Solutions is a rapidly growing, profitable company, headquartered in San Diego, CA. Our employees are the key to maintaining our competitive edge. To attract and retain the best industry talent Davenergy Solutions shares its success with its employees and is committed to providing a professional work environment where learning, growth and recognition are highly valued. If you are seeking an opportunity to work in a progressive organization that will offer you diversified challenges and an excellent opportunity for advancement, please review our current employment opportunities. For more information about Davenergy Solutions and open positions please visit our website at www.davenergy.com. Position Description: We are seeking a full-time Commissioning Engineer to join our dynamic and growing engineering consulting practice. The selected applicant will conduct commissioning, retro-commissioning energy audits, and limited HVAC/Mechanical design assistance services on a variety of property types. Experience performing commissioning services, and cost/benefit analyses on energy improvements is a requirement for applying to this position. A successful candidate has experience in performing functional testing an building inspections for a wide array of building systems to include but not limited to Air Handling Units, Chilled Water Systems, Hot Water Systems, Steam Systems, Power Distribution, Plumbing, and Emergency Systems. Additionally, the candidate should be knowledgeable in building Test and Balance, usage of flow hoods, control system sensor calibration, and other calibrated testing instruments. The ideal candidate will be adaptive to working with all property types, and knowledgeable about a variety of HVAC systems. Requirements: Experience Requirements: • Commissioning of new construction buildings., • Retro-commissioning experience and ECM Determination, • Knowledge of building HVAC, Plumbing, and Power systems., • An ABET accredited bachelor’s degree in Mechanical or Electrical, • An understanding of and experience with a variety of HVAC systems, • Familiarity with ASHRAE standards, • Familiarity with ICC Building, Mechanical and Green Energy Codes, • Commissioning certification a plus (CxA, CCP, NEBB), • Excellent report writing skills, computer, and internet skills, • Excellent communication and management skills, • Excellent time management and organizational skills., • Ability to complete assignments on-time and within budget, • Ability to utilize ladders, scaffolding and other vertical support systems as part of construction inspections., • Ability to lift and carry up to 25 pounds and spend several hours standing at any time. Communication, Language, and Software Skills • Ability to utilize a variety of software programs to monitor, update, and produce work products by applying knowledge of computer literacy., • Ability to exercise good interpersonal skills. Education, Certifications, Affiliations: • PE Preferred. EIT with Commissioning Certification a Plus. Benefits • 401(k), • Annual Profit-Sharing contribution to 401(k), • 10 Paid Federal Holidays, • Health Insurance, • Dental Insurance, • Paid Time Off Optional Benefits • Accident Coverage, • Vision Insurance, • Short Term Disability, • Long Term Disability, • Term Life Insurance, • Medical Bridge, • Critical Illness Any and all job offers are contingent pending work status eligibility and passing a federal government background check

Job Description Job Description Overview: The ASUS Robotics & AI Center is seeking a Platform Security Engineer to join our global research and development team. This role contributes to the security posture of our cloud-based platform, spanning application hardening, infrastructure security, and the day-to-day practices that keep our systems secure as they scale. We are looking for an engineer with hands-on experience in application and cloud security, a proactive mindset for identifying and mitigating risk, and the ability to collaborate effectively across a multidisciplinary engineering team. The ideal candidate is a strong individual contributor who is eager to deepen their expertise in security architecture while working alongside experienced engineers across our Boston and Taipei offices. Essential Duties and Responsibilities: • Contribute to application and infrastructure security across the platform, supporting production launch and long-term scaling., • Help harden authentication (OAuth/session handling) and API authorization patterns, including multi-tenant access control., • Configure and maintain IAM policies, service accounts, and least-privilege access controls across cloud infrastructure., • Secure data flows including file uploads, signed URLs, database access, and secrets management., • Set up and maintain security monitoring, logging, and alerting systems., • Build and maintain security tooling integrated into CI/CD pipelines, including SAST, DAST, and dependency scanning., • Perform regular security assessments, dependency audits, and penetration testing., • Support incident response and contribute to root cause analysis., • Collaborate with the engineering team on secure development practices and help document security controls and incident response procedures. Knowledge and Skills: • Familiarity with cloud security on GCP or equivalent platforms, including IAM, VPC, IAP, Secret Manager, and Cloud Armor., • Solid understanding of OAuth, session security, and multi-tenant authorization patterns., • Experience with security scanning tools (SAST, DAST, dependency scanning) and integrating them into CI/CD workflows., • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required, • Excellent written and verbal communication skills in English Required Qualifications: Years of Education • Bachelor's degree or higher in computer science, information security, or a related field. Work Experience • 8+ years of experience in application or infrastructure security roles., • Hands-on experience securing production web applications, preferably in Node.js/Next.js environments. Preferred Qualifications: • Experience with Terraform security hardening is a plus., • Strong verbal and written communication skills, including the ability to document security controls clearly., • Penetration testing experience is a plus., • Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week. Working Conditions: • Typically working in an office environment, • This is an IN-OFFICE position in Boston, MA, • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time, • Travel requirements 10% travel, domestic/international $164,000 - $237,000 annually is the estimated pay range for this role working in Boston, Massachusetts office. The final amount will be determined based on qualifications & experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k). ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment. About the ASUS Robotics & AI Center The ASUS Robotics and AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence. More About ASUS ASUS is a global technology leader that provides the world’s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&D experts, the company is world-renowned for continuously reimagining today’s technologies. Consistently ranked as one of Fortune’s World’s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.

Job Description Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is seeking highly skilled Autonomous Robotics Software Engineers to join a small, high-performing team building autonomous robotics systems, computer vision solutions, and large-scale data platforms. We are a deep-tech robotics company building industrial, fully autonomous systems designed to operate in harsh, real-world environments. Alongside our robotics platforms, we are developing a proprietary big data and analytics system that processes hundreds of terabytes of data to generate actionable insights. Over the past decade, we have solved complex robotics and analytics challenges considered out of reach by much of the industry. We are now scaling our technology and preparing for global deployment. If you’re interested in solving technically complex problems at the intersection of robotics, AI, and large-scale data systems—you’ll fit right in. Why Join Us · Work on cutting-edge robotics and autonomous systems · Solve real-world, high-impact engineering problems · Generous compensation, including stock options, plus full medical, vision, and disability coverage · Collaborative, high-performance engineering culture · Modern R&D facility (14,000+ sq ft) in Houston · Daily team lunches and a stocked kitchen Key Responsibilities · Work on systems that directly impact real-world operations and safety · Design and implement autonomous capabilities for high-performance robotic platforms · Develop algorithms for localization, mapping, path planning, and navigation · Integrate perception, sensing, and control systems into cohesive solutions · Design and execute simulation and real-world testing to validate system robustness and reliability · Build production-grade autonomy software from prototype to deployment · Collaborate with cross-functional engineering teams to deliver integrated solutions · Extend and integrate open-source robotics frameworks with proprietary systems Required Qualifications · BS/MS/PhD in Computer Science, Robotics, or related field · Proven experience in robotics software development with successful project delivery · Strong software engineering fundamentals (architecture, testing, debugging, code quality) · Experience with localization, mapping, and state estimation techniques · Experience with path planning and navigation algorithms · Experience with system integration and system-level design · Experience with ROS or similar robotics frameworks, with the ability to extend beyond them · Fluency in modern C++ and performance optimization techniques · Ability to work independently on open-ended engineering problems · Strong problem-solving skills and systems-level thinking · Demonstrated ability to learn and apply new technologies quickly · High level of professional integrity and confidentiality Preferred Qualifications · 5+ years of related experience · Experience building robotics systems deployed in real-world environments · Experience with CI/CD pipelines and automated testing · Experience with embedded or real-time systems · Experience with robotics simulation environments · Hands-on experience with robotic platforms and field testing Location Main development center, Houston, Texas (on-site) Company DescriptionDue to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.Due to the confidential nature of our activities, we aren’t able to share specifics with you now but know that these robotics solutions will have a significant impact on both safety and the environment, thus making the world better.

Job Description Come join oneZero Financial Systems! An exciting, fast-growing company with Headquarters in Somerville MA, oneZero empowers banks, brokerages and hedge funds with cutting edge trade routing and execution technology. Our platform, deployed with 200+ entities globally, features a low-latency trading environment, integrations to the world’s leading execution venues, and reliable IT infrastructure and technical support—all designed to be customized and scaled to serve any business model and any size of market participant. We take pride in our great work atmosphere and highly motivated team of engineers. We are currently looking for a motivated and talented Lead SDET Quality Assurance Engineer to join our HQ office. oneZero is proud to have been named one of Business Intelligence Group's Best Places to Work for four consecutive years: https://www.onezero.com/awards/onezero-earns-recognition-as-a-2025-best-place-to-work/ The Boston Globe names oneZero a Top Place to Work in 2022, 2023, and 2024: https://www.onezero.com/homepage/the-boston-globe-names-onezero-a-top-place-to-work-for-third-year-in-a-row/ oneZero earns 2024 Great Place To Work Australia Certification https://www.onezero.com/awards/onezero-2024-great-place-to-work-australia-certification/ Please see oneZero featured in e-Forex Magazine to learn more about the company and our dynamic team (https://goo.gl/vbXw8i). JOB PURPOSE: At oneZero, we develop a high performance ultra-low latency trading and finance platform that sends terabytes of data to our AWS platform on our data analytics platform. We also develop and integrate into our Autochartist analytic platform into our main platforms. We are looking for a computer science graduate or trained software engineer who is looking to work with a world-class software team. In this role, you will grow your career through teamwork, becoming an expert in trading/finance/data analysis via testing and developing code to ensure we deliver high quality software and validate our large data sets. JOB DESCRIPTION SUMMARY: Manages and supervises other SDET QA to ensure application code the team tests performs as expected in terms of function, compatibility, design, and performance chiefly by developing testing programs to identify possible defects in pre-deployment software. Operates at all levels of the testing pyramid, employing knowledge of the end user business domain to mentor the team to validate suitability for purpose. Collaborates with team, engineering and product colleagues to ensure consistently high quality software. Oversee and help implement full automation test coverage at a squad level for a release and coordinate the work within the squad/team to completion. Participates in automation code reviews, pair-programming, makes automation framework updates to support new/enhanced functionality, Able to understand automation coding and best practices and mentor other SDET QA to get the team to develop test automation to the same standards that the development team follows. Keep up with innovations in the industry and be a driver of continuous improvement. KEY ROLES AND RESPONSIBILITIES: Quality and Best Practices Champion • Promotes automation first approach to test plans that incorporate both positive and negative scenarios, • Identifies functional interdependencies between squads that optimizes testing of related/dependent features that are cross-squad and cross-team, • Participates and leads in postmortem activities to better understand and automate escapes and implement process improvements, • Understands each tier of the testing pyramid and the how to use the different automation solutions for them, • Helps ensure both stories and epics meet both Definition of Ready (DoR) and Definition of Done (DoD), • Applies test-first BDD and TDD best practices Innovator • Experience with integrating AI into test automation solution, • A vision for how Generative AI can transform QA, • Ideas for client-centric testing that includes persona and workflow based test strategy Automated Test Developer • Has a vision for how to make Leverages AI to enhance automation and productivity while ensuring high quality coding standards, • Designs\refactors automation to validate the intended functionality using common classes and shared configs that keeps the framework lean and fast, • Able to automate and do code reviews at all levels of the test pyramid, • Ensures automated tests are incorporated into CI/CD pipeline and ensure test results are monitored, • Be a hands on lead and automate and validate end to end system/functional workflows within multiple components Agile Practitioner • Demonstrates understanding of Agile principles and supports the overall delivery for product releases, • Able to accurately estimate stories and one’s own capacity, • Processes retrospectives and applies Kaizen principles to daily work Business Domain Expert • Has business domain experience and extends business domain through purposeful study, • Has client centered approach and promotes customer personas and application workflows as a testing practice, • Able to identify domain knowledge gaps within the team and recommend individualized training options, • Demonstrates analytical, systems and innovative thinking, • Acquires subject matter expertise in application under test to a level of demoing and training others Test Framework Developer • Learns the appropriate uses of, architecture for, and construction of test frameworks and tooling, • Suggests and implements improvements to the test framework, • Work with multiple frameworks; REST/API, GUI, performance, ETL/big data as well as custom test solutions, • Incorporates AI and new technologies into our framework that boost both productivity and product quality Tier 3 Support Troubleshooter • Understands the production support model, • Understands how production environments are deployed and configured, • Prioritizes production issue troubleshooting and delegates to the team. EXPERIENCE/EDUCATIONAL REQUIREMENTS: • Bachelor’s/Master’s degree in the Hard Sciences (Computer Science, Math, Engineering preferred), • 10+ years of software development or automation development or technical team leadership experience, • Demonstrable experience with some of CI/CD, BDD/TDD, C#, Relational Databases and Python/JavaScript, • Experience with performance tools like Neoload/JMeter/Etc, • Familiarity with Playwright, • Experience managing technical automation QA teams in an agile and CI/CD environment, • Finance industry experience, • Experience using generative AI within a development environment KEY COMPETENCIES • Business Orientation (Proficient)- Understands the needs and priorities of internal and external clients. Conducts work with a customer point of view. Observes and reports problems relevant to the client and works to gain their trust and respect, • Cooperation (Advanced)- The ability to work effectively with others in order to achieve a shared goal- even when the objective at stake is of no direct personal interest. Acknowledge the contribution from others disciplines; Discuss plans and ideas with others and invite them to contribute; Is able to compromise- lets a group's interest prevail over their own; Makes others see their contribution is vital for achieving a shared goal., • Focus on Quality (Advanced)- Sets high quality standards and strives for continuous improvement. Encourages others to take quality into account; Self-manages and creates test and checks of the work of others to ensure work is up to prescribed quality standards; Indicates clearly and specifically what level of quality is expected, • Initiative (Proficient)- Recognizes and creates opportunities and acts accordingly. Communicates and starts something than waiting passively for it to happen. Mentions and discusses practices that are inefficient and a drag on productivity and actively searches for and suggests solutions., • Result Orientedness (Advanced)- Sets high standards, defines/achieves challenging yet feasible goals; Considers the option carefully; mobilizes means and people, even when others need to be persuaded of its necessity; Does not give in, actively looks for alternative possibilities when facing difficulties., • Workmanship (Proficient)- Independently carrying out one's work. Has a thorough knowledge of one's field. Knows the causes and solutions to commonly occurring problems; shows interest in his professional field- keeps their professional knowledge up-to-date by all means possible; Shows what has priority and where necessary, changes the work order; Sees work that has to be done and takes initiatives to get it done. The salary range for this role is 115,000- 145,000, depending on relevant experience.

Job DescriptionNetwork EngineerEmployment Type: Full Time, Experienced levelDepartment: Information Technology CGS is seeking an experienced Network Engineer to join a team focused on the evaluation, enhancement, and maintenance of a large scale network project that includes both wired and wireless network infrastructure and related hardware & software. The project's objectives are to evaluate the current setup of existing disparate networks and design & implement a network infrastructure that encompasses the wireless, wired, and software network requirements. The project will also include consultation regarding hardware and software necessary to facilitate the proper support for this encompassing infrastructure, and the associated systems testing, vulnerability assessments, and quality assurance needed to implement the new setup. This Network Engineer will interface with state and local governmental personnel, internal stakeholders, subject matter experts, and vendor(s) who will provide development services. CGS brings motivated, highly skilled, and creative people together to solve government’s most dynamic problems with cutting edge technology. To carry out our mission, we are seeking candidates that are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success:- Operate and manage NPS network infrastructure;- Improve infrastructure monitoring and reporting capabilities based on the deployment of network management software;- Develop, maintain and deliver infrastructure documentation relating to the network infrastructure within the NPS environment;- Review current best practices and provide recommendations for architecture, design, management and operation of the network infrastructure;- Administration of the Cloudpath (or equivalent) onboarding process, monitoring and troubleshooting of wireless network health, maintenance of wireless network infrastructure, implementation of network security patches and software/firmware updates, from 0800 to 1700 PST, Monday-Friday;- Assess the NPS network infrastructure and make recommendations on improvement and optimization;- Define and conduct testing procedures for new infrastructure projects;- Implement technology solutions within the NPS network environment;- Provide design guidance on network solutions within NPS infrastructure projects;- Provide informal training and knowledge transfer to NPS resources on best practices and theory of operation relating to network products. Qualifications:- Bachelor’s Degree from an accredited college or university in Engineering, Computer Science, Business, Information systems or a related discipline.- Strong documentation skills including updating JIRA Tickets, Wiki Pages and Network Diagrams- Ability to communicate with end users, cross-organizational staff and technical assistance center.- CWNA Certification or equivalent- BCNE Certification or equivalent- Experience utilizing (RF) site survey tools such as Ekahau, RF Scanners and Wireshark packet capture software- Strong knowledge of layer 2 switching and layer 3 routing protocols; including VLANs, 802.1w, OSPF and VRRP- Strong knowledge of network security including; 802.1x, MAC Authentication, ACLs, RADIUS and Certificate of Authority (CA)- Strong knowledge of troubleshooting RF and LAN issues- Working knowledge of LINUX, MS Server 2013, VMware, etc.- A Master’s Degree in Engineering, Computer Science, Business, Information systems or a related discipline- At least 3 years experience with disaster recovery plan creation / implementation testing or projects - Experience with penetration testing, vulnerability assessment, and vulnerability testing- Experience with cyber threat information collection and analysis- Working knowledge of Agile/SCUM project management methodologies- Additional Industry certifications/licences Our commitmentContact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting edge technology with world-class personnel to deliver customized solutions that fit our clients’ specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years we’ve been growing our government-contracting portfolio, and along the way we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package:- Health, Dental, and Vision- Life Insurance- 401k- Flexible Spending Account (Health, Dependent Care, and Commuter)- Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran Join our team and become part of meaningful government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact:Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description From our nation’s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the mission of producing counterfeit-resistant currency for the young Republic. That legacy established ABCorp as a pioneer in secure printing and shaped our evolution into a global leader in secure manufacturing. What began with protecting America’s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide. Today, ABCorp operates at the intersection of authentication, payments, and secure access, embracing next-generation (including additive 3D) manufacturing to meet the demands of a digitally driven world. With more than 230 years of expertise, no one understands secure manufacturing and authentication better — or has done it longer. We maintain global reach and compliance across eight locations worldwide and are trusted by fintechs, financial institutions, healthcare companies, governments, and brands in more than 120 countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that incubate advancements in payments, secure access, and additive manufacturing. The Team At ABCorp, our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Product & Engineering organization partners closely with Product Management, Sales, Operations, Customer Success, Security, and our customers to design and deliver the platforms that power our secure financial and card issuance solutions. Our teams build and operate cloud-native SaaS systems and secure production technologies that enable global institutions to issue, manage, and authenticate payment credentials at scale. Working at the intersection of secure manufacturing, financial technology, and enterprise software, the team translates complex regulatory, operational, and customer requirements into scalable, resilient, and compliant systems. From architecture and platform design to deployment and global production integration, Product & Engineering drives both product innovation and operational excellence across our business. Our work directly shapes customer experience, system reliability, and the long-term growth of ABCorp’s secure payments platforms worldwide. Learn more about ABCorp's story, products and team at abcorp.com. The Role ABCorp is seeking a Principal Software Engineer, Team Lead to anchor and lead a full-stack product team building next-generation financial and card issuance SaaS solutions. This role blends deep technical execution with team leadership within an empowered product model. You will lead a team of 6–10 engineers while remaining hands-on in architecture, design, and development. Working closely with Product and UX leadership, you will shape scalable, secure cloud platforms that power financial workflows, card issuance, and secure manufacturing for global institutions. Beyond delivery, you will operate as a product-minded engineering leader — translating business problems into durable technical solutions, ensuring system reliability and data integrity, and building platforms designed for scale, observability, and measurable impact. You will influence cross-functional stakeholders, elevate engineering standards, and help define how our SaaS platforms evolve to support both operational excellence and long-term product strategy. This is an in-person role based in Boston, MA. How You’ll Make a Difference • Lead and contribute hands-on to a full-stack product team building secure financial and card issuance SaaS platforms., • Architect and implement scalable, cloud-native solutions across frontend, backend APIs, data, and infrastructure., • Partner closely with Product and UX within an empowered product team, owning discovery, technical direction, and delivery outcomes., • Guide development of modern web applications using React and/or Angular alongside robust backend APIs and distributed services., • Design solutions with architectural fluency across Azure, AWS, and GCP., • Drive engineering excellence in security, reliability, scalability, and observability within a regulated financial environment., • Establish best practices for CI/CD, automated testing, DevSecOps, and infrastructure-as-code., • Mentor and develop engineers through architecture reviews, pairing, feedback, and technical coaching., • Ensure secure-by-design development aligned with PCI, EMV, and financial compliance standards., • Integrate SaaS capabilities with secure financial and card production workflows across global manufacturing sites., • Serve as the technical decision-maker and escalation point within the team., • Partner with clients and internal stakeholders to translate card issuance needs into structured product requirements and scalable technical solutions. Who You Are • 10+ years of software engineering experience, including 3+ years in a technical leadership role within cloud-native SaaS environments., • Proven success launching and scaling secure, high-availability platforms in regulated financial or enterprise environments., • Strong full-stack expertise across modern web and distributed systems:, • Frontend: React and/or Angular, • Backend: RESTful APIs, distributed systems, service-oriented architecture, • Data: SQL and NoSQL systems, • Deep experience with Azure cloud architecture, with working knowledge of AWS and GCP., • Demonstrated ability to lead and mentor engineers while remaining hands-on in architecture, design, and development., • Strong understanding of CI/CD, DevSecOps, observability, and infrastructure-as-code (e.g., Terraform, Bicep)., • Experience operating within cross-functional product teams alongside Product and UX, influencing technical direction and delivery outcomes., • Experience in payments, fintech, card issuance, authentication, identity, or similar regulated domains is highly valued, including familiarity with standards such as PCI-DSS, EMV, ISO 27001, or SOC 2., • Experience designing multi-tenant SaaS architectures, event-driven systems (e.g., Kafka), and integrating software platforms with hardware or secure manufacturing environments is a plus., • Native fluency with modern AI-accelerated engineering practices, including tools such as GitHub Copilot Enterprise, Azure OpenAI, ChatGPT Enterprise, Claude (including Claude Code), Cursor, and emerging agentic development frameworks. Experience leveraging AI for code generation, refactoring, testing, documentation, system design exploration, and embedding AI capabilities directly into SaaS products., • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience., • Ability to work onsite in Boston, MA. Please note there is no visa sponsorship for this position. Why Join ABCorp? • Unique opportunity to build secure financial products at global scale., • Opportunity to shape payment, authentication, identity, and additive manufacturing solutions that impact everyday lives., • Work at the intersection of fintech, security, and enterprise SaaS with an established market leader., • A company with a rich legacy of innovation and trust., • Collaborative global team and dynamic work environment., • Competitive salary and benefits package. Strong professional growth and development opportunities.

Job Description:\n\n At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.Team Overview The Amplify Engineering team builds the internal tools, platforms, and AI-powered automation that help Klaviyos work more efficiently and at scale as the company grows. We partner across the organization, including Sales, Marketing, Engineering & Product, and Customer Service & Success, to solve real operational problems with practical, well-designed software. Our work spans internal applications, 3rd-party integrations, interactive dashboards, CMS integrations, and robust AI systems and agents that automate repetitive tasks, surface the right information at the right time, and help teams make better decisions. We operate in tight feedback loops with our internal customers, shipping quickly, learning fast, and seeing the impact of our work immediately in how deals move faster, tickets resolve sooner, and launches go more smoothly. This role is for senior technical leaders who own hard problems end-to-end across multiple domains, set the technical bar for how Amplify builds, and drive engineering excellence across the broader organization. The work is highly visible and has a direct impact on how thousands of Klaviyos get their work done every day.How You'll Make an Impact The Amplify team builds the internal platforms, automation, and AI-driven systems that power how Klaviyos work every day. As a Senior Lead Software Engineer on Amplify, you will:Independently own and drive high-impact objectives that span multiple Amplify teams and align with company priorities, defining the technical roadmap that ensures our internal applications, APIs, data and event pipelines, and AI-powered workflows can scale with Klaviyo and continue delivering measurable business outcomes.Be accountable, in partnership with Engineering Managers, for the long-term technical health of Amplify's systems — quality, reliability, scalability, cost, and security — across a significant slice of Klaviyo engineering, maintaining strong system-level thinking across interconnected internal platforms.Independently lead the end-to-end lifecycle of large, multi-team initiatives with clear technical direction, architectural leadership, and active workstream curation, from discovery and design through implementation, rollout, and long-term ownership of complex programs that span internal customers across the company.Make high-judgment architectural calls in ambiguous situations, committing decisively even when facing disagreement, and use prototypes and reference implementations to de-risk decisions before broader investment.Establish shared standards, patterns, and reference implementations that multiply team effectiveness across Amplify and adjacent engineering teams, and proactively redirect efforts away from low-leverage approaches and toward higher-impact solutions when projects are off-course.Define and communicate forward-looking technical strategy that integrates input from Product, Design, Data, and operational partners, and use that strategy to lead technical discussions and influence the roadmaps of adjacent teams whose work intersects with Amplify.Set the standard for AI-native engineering at Amplify. Use modern AI tools — coding assistants, agentic workflows, RAG pipelines, and evaluation harnesses — as a core part of your day-to-day workflow, define guardrails for building AI-powered systems responsibly, and help the broader engineering organization adopt AI effectively in design, coding, testing, and operations.Own the response to complex performance, scalability, and reliability issues across Amplify systems, working side by side with teams in the trenches during incidents, owning mistakes, and turning post-incident learnings into changes that prevent recurrence and raise the bar across the organization.Define and own the operational standards Amplify holds itself to, including SLOs, monitoring and alerting, incident response, security, observability, and cost, and continuously evolve them as usage and complexity grow.Get work done primarily through influence, delegation, and clarity, providing clear technical direction and creating the patterns, platforms, and de-risked references that let dozens of engineers across Amplify move quickly and safely.Invest in the growth of engineers across levels at Amplify, with a particular focus on developing emerging Senior and Lead engineers through design reviews, pairing, RFC feedback, and intentional one-on-one coaching, and participate actively in senior engineering hiring to represent Klaviyo's technical challenges and culture.Connect technical work to customer outcomes and business objectives, ensuring Amplify is investing in the highest-leverage opportunities and that engineering practices advance with measurable, multiplicative impact across the organization.Who You AreYou are passionate about building software effectively and for the long term, balancing technical quality, velocity, and business impact, and you are comfortable making and explaining trade-offs at that intersection across multiple teams.BA or BS Degree in Computer Science, related field, or equivalent experience.12+ years of experience in software development with deep knowledge of computer science fundamentals, domain-driven design, and architectural patterns for distributed, multi-tenant systems.You bring deep expertise in a core problem space — internal platforms, full-stack or backend SaaS systems, data and event pipelines, web applications, or AI-enabled systems — and you maintain strong system-level thinking across interconnected areas.You have independently led delivery of large, multi-team programs spanning multiple quarters, including discovery, design, implementation, rollout, and ongoing ownership, and have a track record of breaking through technical obstacles and leading teams through crises by working alongside them in the trenches.You are comfortable making high-judgment architectural calls in ambiguous situations and committing decisively even when facing disagreement, and you use prototypes and reference implementations to de-risk decisions before broader investment.You have demonstrated experience defining technical strategy and roadmaps that align with company priorities, integrating input from cross-functional partners, and influencing the roadmaps of adjacent teams whose work intersects with yours.You have a track record of redirecting teams from low-value approaches toward higher-leverage solutions, and of building patterns, processes, and reference implementations that multiply team effectiveness with measurable, multiplicative impact.You are an AI-native engineer and leader. You regularly use modern AI tools — coding assistants, LLM APIs and SDKs, agentic workflows, RAG pipelines, and evaluation harnesses — to accelerate your engineering workflow, you have practical experience building or integrating AI-powered systems, and you are excited to set the standard for how an organization adopts AI thoughtfully and responsibly.You take direct ownership of operational excellence for the systems your teams build, including performance, reliability, observability, security, cost, and on-call, and you are comfortable defining SLOs, leading incident response, and owning RCAs end-to-end.You are highly effective at working through influence and delegation. You provide clear technical direction, create the clarity, patterns, and guardrails that let a large group of engineers move quickly and safely, and you are an exceptional communicator across technical and non-technical audiences.You own mistakes openly, take action to prevent recurrence, and share learnings broadly so the wider organization benefits from what your team has learned.You are passionate about mentorship and have direct experience growing senior engineers and leads, including emerging Seniors and Leads, through design reviews, technical coaching, and creating opportunities for others to step up. You participate actively in senior engineering hiring.You enjoy questioning convention and continuously improving how things work — architecture, tooling, workflows, or processes — and you know how to introduce change while bringing people along with you.You enjoy working in small, autonomous, agile teams, shipping incrementally, and partnering closely with product, data, and design partners to deliver better outcomes for internal customers.Nice to HaveDeep experience building internal tools, developer platforms, or operations automation, with measurable impact on reliability, productivity, or operational efficiency across multiple teams.Practical experience building or integrating production AI systems and agents, including workflows using LLM APIs and SDKs, agentic or automated workflows, RAG pipelines, evaluation harnesses, and monitoring frameworks for AI systems.Experience designing and operating large-scale services on AWS with infrastructure as code (Terraform) and containerized environments (Kubernetes), including capacity planning, cost optimization, and disaster recovery.Experience partnering closely with go-to-market, customer service & support, finance, or operations leaders to translate complex workflows into internal tools that drive measurable efficiency and business outcomes. Technologies We Use Klaviyo's platform is primarily built with Python and React and runs on AWS. Engineers join us from a wide range of technical backgrounds and are supported in learning our stack. Core technologies include:Python / Django / FastAPITypeScript / ReactMySQL / Redis / MemcachedRabbitMQ / Celery / Apache Kafka / Apache PulsarAWS / Terraform / KubernetesAI: Anthropic, OpenAI, and Google Models. Claude Code & CursorLocation & Work Model This role is based in Boston, Massachusetts and follows a hybrid working model. Klaviyo supports work authorization and relocation for this position. At Klaviyo, we enjoy tackling meaningful engineering challenges and value people who take ownership, learn continuously, and collaborate openly. We are committed to building inclusive teams and encourage applications from candidates of all backgrounds. Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech Massachusetts Applicants:It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant's job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total compensation package may include participation in the company's annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility. Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process. Base Pay Range For US Locations: $216,000—$324,000 USD This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance. Get to Know Klaviyo We're Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed. By participating in Klaviyo's interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice. Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR).

Job Description Role Summary Specter Aerospace is seeking an Electrical Engineer Co-op (4-6+ month cycle) to contribute to the development of electrical, avionics, ignition, and control systems for hypersonic flight vehicles. This role offers hands-on experience across the electrical engineering lifecycle, including requirements development, circuit design, fabrication, integration, and testing. A successful candidate will work closely with electrical, embedded software, GNC, mechanical, and test engineers to develop systems that support Specter’s experimental and flight vehicle programs. About Specter Aerospace Specter Aerospace is building the next generation of hypersonic vehicles for U.S. Forces and Allies. Specter is headquartered just north of Boston in Peabody, MA where it leverages its advanced propulsion technologies, manufacturing, and testing capabilities to rapidly develop supersonic and hypersonic systems. Funded by a mix of government R&D organizations and private funding, Specter is expanding its team in preparation for flight testing and full-scale production. Specter offers a wide diversity of tasks, projects, and technical exposure, all while providing co-ops with the same resources and project ownership as our full-time staff members. Our co-ops work closely with experienced engineers and scientists to complete projects that are critical to the mission of the company. Role Responsibilities • Design, fabricate, integrate, and test custom electrical and embedded systems for hypersonic flight vehicles and ground-support equipment., • Apply circuit theory and engineering fundamentals to analyze and develop electrical systems., • Interface with electrical, embedded software, GNC, mechanical, and test engineering teams to refine requirements and define technical scope., • Develop test plans and procedures for system shakedown, debugging, characterization, and verification., • Use laboratory equipment to complete PCB bring-up, evaluate electrical system performance, and diagnose issues., • Interpret existing schematics and update design documentation as systems evolve., • Support hand assembly, rework, and modification of printed circuit boards and other electrical hardware., • Participate in technical meetings, design reviews, and cross-functional discussions., • Take ownership of assigned projects from initial concept through testing and documentation. Required Qualifications • Pursuing a bachelor’s degree in electrical engineering, computer engineering, or a related field., • Familiarity with circuit theory and the analysis and design of electrical systems., • Experience using ECAD tools such as Altium Designer, KiCad, OrCAD, or similar., • Experience with circuit simulation tools such as SPICE, PLECS, Simulink, or similar., • Experience bringing up and testing custom PCBs or other electrical systems., • Ability to interpret circuit schematics and produce clear technical documentation., • Experience using laboratory equipment such as oscilloscopes, function generators, power supplies, or signal analyzers., • Ability to work independently in a fast-paced, changing environment., • Strong communication and collaboration skills, with a commitment to producing high-quality work., • Eligible to obtain and maintain a U.S. Secret security clearance; U.S. citizenship is required., • Ability to pass a pre-employment drug screen and background check. Preferred Qualifications • Previous applicable professional, research, or student-team experience., • Familiarity with scripting languages (Python, MATLAB) or relevant embedded languages (C, C++, or similar)., • Advanced experience with ECAD and PCB design tools; Altium Designer experience is preferred., • Experience with mechanical CAD tools; SolidWorks experience is preferred., • Ability to hand-assemble and rework PCBs with small or complex components., • Knowledge of electric fields, magnetism, gas discharges, or plasma systems., • Practical understanding of semiconductor devices, filtering, impedance matching, or signal integrity., • Experience with high-voltage or power electronics design and electrical safety practices. EEO Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Job Description Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: • Integrity: Do the right thing. Especially when it's hard., • Courage: Embrace the challenge., • Together: Build bridges and lift up your colleagues. Job Summary: As a Staff Software Engineer, you will play a key role in the entire engineering lifecycle from design, documentation, build, test and maintain our SmithRx product suite. You will advocate and bring best practices/methodologies, coding standards and large-scale system design perspectives to our team. We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges as we continue to push technology forward. What you will do: • Focus on back-end architecture; designing, developing and maintaining SmithRx product features using various languages such as Golang, JavaScript/Typescript, Node, GraphQL, and SQL (amongst others), while leveraging full CI and CD to iterate quickly, • Collaborate with stakeholders and technical leads to understand functional and technical requirements to produce high-quality, scalable software and services, • Provide scope and risk estimates for system and feature builds by building technical design documentation, • Continually apply software development best practices, design patterns, testing, automation, tools and technologies., • Leverage AWS technologies, like Lambda and Fargate, to handle various types of jobs and batch processing, • Troubleshoot production issues by performing triages for issues that arise, assessing the impact, creating and executing a plan for short-term and long-term mitigation, and performing root cause analysis to prevent future occurrence of issues., • Coach/mentor junior team members in their assigned engineering projects by reviewing and providing feedback on code developed, and performing design and code reviews, • Work with senior leadership to turn technical vision into a tangible roadmap every quarter, • Be the cornerstone of a collaborative learning culture through mentorship, code reviews, the exploration of new technologies, and other innovations What you will bring to SmithRx: • BS or advanced degree in computer science or applicable experience, • 12-15 years of software development experience working on server-side applications, specifically around API servers, third party integrations and data processing, • Experience at a high-growth startup a plus, • Expertise in a compiled language such as Go, Java or Kotlin is required, • Proficiency with relational databases such as PostgreSQL, including schema design, SQL tuning, and database monitoring is required, • Demonstrated experience designing and implementing scalable APIs; a solid understanding of design patterns, database design, and testing best practices., • Working knowledge of GraphQL APIs, CI and CD pipeline, AWS platform, Docker, and Kubernetes a plus, • Positivity; non-dogmatic, team-first attitude, • Flexibility; someone who is responsive and comfortable with ambiguity, • Highly disciplined approach to software design and development and ability to work on features independently (accurately forecast delivery milestones and work with stakeholders to ensure that expectations are met) What SmithRx Offers You: • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance, • Flexible Spending Benefits, • 401(k) Retirement Savings Program, • Short-term and long-term disability, • Discretionary Paid Time Off, • Paid Company Holidays, • Wellness Benefits, • Commuter Benefits, • Paid Parental Leave benefits, • Employee Assistance Program (EAP), • Well-stocked kitchen in office locations, • Professional development and training opportunities Location: US - Remote Compensation & Benefits • Base Salary: The range listed above reflects our standard pay scale and actual pay will vary based on work location, job level, job-related knowledge, skills, and experience., • Total Rewards: In addition to base pay, this role may be eligible for bonuses, commissions, or equity. SmithRx offers a variety of benefits to help you live well, including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance and 401(k). Individual offers are tailored to your geography, experience, skills, and education. Your recruiter can share more specific details during the hiring process. In the meantime, feel free to explore our comprehensive benefits here.

Job Description (Hybrid) Description Do you like a challenge? Do you enjoy programming and working with electrical/mechanical systems? Consider a career as an Automation Travel Engineer. In this position, you will spend your time at customer sites solving problems in the field and helping bring complex systems to life. This travel-focused role includes additional compensation and benefits designed to support a project-based schedule. Automation Engineers at DMC apply their programming skills and understanding of engineering fundamentals to provide solutions that involve developing software to interface with and control hardware. Our engineers work independently as well as collaborate with teams and clients, including maintaining daily communication, assisting with project management and developing business relationships. About DMC DMC is a leading engineering consulting firm, delivering high-caliber engineering and custom software development services globally. Specializing in innovative solutions for manufacturing, testing, and product development, our expertise spans industries from aerospace to consumer-packaged goods to healthcare, and more. Our engineers excel in staying ahead of cutting-edge technologies and delivering top notch solutions. We prioritize technical excellence and cultivate a collaborative environment for independent and team-based work, reflecting our commitment to professional growth and providing forward-thinking solutions to clients. Responsibilities • Programs applications in accordance with DMC programming standards and best practices to meet and exceed customer requirements, • Commissions solutions at customer sites (domestic/international travel as needed), troubleshooting electrical and mechanical systems, • Works with most industrial PLC/HMI/SCADA platforms (Siemens, Rockwell, Ignition, etc.), • Continuously learns relevant technologies with guidance, gaining knowledge in sales, business development, and project processes, • Supports system architecture design, performs engineering tasks at all stages, and takes on both leading and supporting roles, • Mentors and technically advises new team members, • Conveys deliverables to customers through various communication methods and develops and maintains relationships Note: This role is designed for engineers interested in 90% - 100% travel, with the majority of time spent onsite at customer facilities. Vacation accrual is higher than our typical engineering positions. Requirements Must be authorized to work in the U.S. without employer sponsorship now or in the future. • Bachelor of Science in Mechanical, Electrical, or Computer Engineering (or related field), • Minimum GPA of 3.4, • 2+ years of relevant experience, • Proficient in programming, including text-based languages and object-oriented concepts, • Quickly learns new technologies, understands complex systems, and builds on established patterns and models, • Efficiently manages multiple projects, works directly with customers, and responds to their needs, • Experience designing projects in industrial automation systems (e.g. PLCs, Motion Control, Process Control, HMI, SCADA, Robots, Machine Vision, etc.), • Interest in working across a variety of industries, • Experience leading and/or mentoring technical project teams (preferred), • Strong written and verbal communication skills, with the ability to develop project proposals, • Ability and willingness to travel 90% - 100% for your first 18 months at DMC, • After 18 months, there will be an option to move into a standard engineering role which expects 30%-40% travel, • Access to a reliable vehicle for work-related travel ITAR Requirements To conform to U.S. Government commercial space technology export regulations, including the International Traffic in Arms Regulations (ITAR), 8 U.S.C. § 1324b(a)(3), applicants for employment at DMC must be a U.S. citizen or national, lawfully admitted for permanent residence into the U.S. (i.e. current green card holder), or lawfully admitted as a refugee or granted asylum under 8 U.S.C. § 1157-1158. Compensation: Starting compensation is based on industry, relevant experience and location standards. • Engineer Levels II & III (3-5 years relevant experience): $101,000 - $121,000, • Engineering Levels III & Above (5-10 years relevant experience): $121,000 - $171,000+ Additional Information: • Benefits/Culture/Bonuses and More!, • Office Locations, • DMC Website, • Engineering Blogs, • Additional Career Opportunities #LI-Hybrid

Job Description BioView is seeking a highly professional customer focused Field Service Engineer to join our Support & Training team. The successful candidate will live in the Boston, MA area and serve as a support and training engineer for our clients in the Americas. He/She will provide our new and existing customers comprehensive training of the BioView imaging products line. He/She will be responsible for providing prompt support to our users, while achieving the highest possible level of customer satisfaction. He/She will maintain a high level of technical expertise in all aspects of the BioView products, including the biological, computerized and optical features of our products. Essential Duties and Responsibilities · Installation of BioView systems at customers sites · Training of new users to successfully operate the BioView systems & software · Demonstrating BioView systems and applications · Provide remote and on-site support to BioView customers by installing, fine-tuning, and maintaining BioView systems and applications. • The position requires diagnosing and resolving mechanical, hardware, software, and system failures, • You will document all activities, contribute to quality improvement, and focus on maximizing customer satisfaction, • Frequent travel required, 60-70% of the time, mostly within the US & Canada, but may be to other regions on the globe Requirements • Bachelor’s degree or equivalent in life science, biomed, or a technical field, • Familiarity with Microscopy, Cytogenetics, Fluorescence In-situ Hybridization (FISH), Cell Morphology, and Immunostaining analysis is an advantage., • Excellent communication (verbal and written) and interpersonal skills., • Problem solver with good technical aptitude and troubleshooting skills, • Computer and network knowledge is a plus, • Ability to understand computer algorithms and to tune parameters., • Outstanding ability to explain, demonstrate and present new biological and technical concepts to new users Other requirements • Handle stress effectively, • Willingness to work outside of normal working hours and in rare cases on weekends, • Valid Passport, • Valid driver license Company DescriptionOur Mission is to improve cancer patient’s assessments and outcomes. BioView develops, manufactures, and markets innovative Automated cell imaging and analysis platforms for use in cytology, cytogenetics and pathology at clinical and research laboratories who wish to digitize and streamline their analysis workflow. BioView’s industry-leading platforms offer advanced capabilities for Fluorescent and Bright-field based applications driven by Artificial intelligence. Starting from automated FISH Analysis of tissue and cells suspension for cancer and genetic abnormalities, to automated whole slide imaging for digital pathology and quantitative IHC scoring application for nuclear & membrane staining. Bringing liquid Biopsy to the clinical Practice We are a world leader in providing solutions for Circulating tumor cells detection, enumeration and characterization. Our all-in-one DeNovo system, offers high levels of speed, standardization and sensitivity. It is easy to operate, and can be integrated with any CTC enrichment method, as well as any combination of immunofluorescence and FISH markers. NGK – New Generation Karyotyping An innovative platform powered by deep learning dramatically enhances technician efficiency and productivity and introduces first of a kind supervisor monitoring tools and an ISCN results generator that is directly linked to an online supporting cytogenetics database. Our customers leverage offline analysis and Web-based applications to collaborate with their colleagues and explore new business opportunities.Our Mission is to improve cancer patient’s assessments and outcomes. BioView develops, manufactures, and markets innovative Automated cell imaging and analysis platforms for use in cytology, cytogenetics and pathology at clinical and research laboratories who wish to digitize and streamline their analysis workflow. BioView’s industry-leading platforms offer advanced capabilities for Fluorescent and Bright-field based applications driven by Artificial intelligence. Starting from automated FISH Analysis of tissue and cells suspension for cancer and genetic abnormalities, to automated whole slide imaging for digital pathology and quantitative IHC scoring application for nuclear & membrane staining. Bringing liquid Biopsy to the clinical Practice We are a world leader in providing solutions for Circulating tumor cells detection, enumeration and characterization. Our all-in-one DeNovo system, offers high levels of speed, standardization and sensitivity. It is easy to operate, and can be integrated with any CTC enrichment method, as well as any combination of immunofluorescence and FISH markers. NGK – New Generation Karyotyping An innovative platform powered by deep learning dramatically enhances technician efficiency and productivity and introduces first of a kind supervisor monitoring tools and an ISCN results generator that is directly linked to an online supporting cytogenetics database. Our customers leverage offline analysis and Web-based applications to collaborate with their colleagues and explore new business opportunities.

Job Description Job Description As a Manufacturing Test Support Engineer on the Manufacturing Test Engineering team, you will troubleshoot, maintain, and repair the test systems that are used in the manufacture of our Robotics Systems. You will document and deploy test equipment, software, and procedures for in-house production testing. How you will make an impact: • First responder triage of line down issues related to in-house test systems., • Conduct troubleshooting and failure analysis efforts on the production floor to improve engineering and assembly design as well as supplier quality., • Support continuous improvement and change implementation efforts for in-house test systems., • Develop and refine troubleshooting and repair procedures for test systems., • Ensure that all relevant test system documentation is up to date and properly revision-controlled in PLM., • Training both internal and external manufacturing in the use and support of production test equipment, test programs, and debug processes., • Support station duplication, maintenance, and deployments for repair and service teams. Required Skills & Experience: • Hands-on experience building and debugging electro-mechanical assemblies, • Experience with lab equipment, including oscilloscopes, power supplies, and programmable loads, • Computer/programming skills with experience in Python and command-line and BIOS environments, • Familiarity with system-level debug and failure analysis and driving to root cause, working with engineering., • Self-motivated and able to work in an ambiguous environment with minimal supervision., • Ability to follow assembly documentation and adhere to production protocols, • Strong problem-solving abilities and will to address challenges beyond the primary area of expertise, • Have the flexibility to offset working hours to support occasional weekend shifts. Preferred Skills & Experience: • Associate's or Bachelor's degree in electronics, robotics, mechatronics or related field., • 1-3 years of experience from various industries (robotics, medical, defense) performing systems integration and test functions., • Able to interpret mechanical assembly drawings and provide feedback to mechanical designers., • Able to interpret electrical schematics and cable drawings and provide feedback to electrical designers and technicians., • Test software development using programming languages such as Python in both Windows and Linux environments., • Demonstrated experience with electrical, mechanical, and wire harness diagrams, • Familiarity with Jira or other ticket/issue management systems., • Familiarity with using a PLM (e.g. Arena)., • Familiarity with asset tracking systems such as MaintainX and Asset Panda.Company DescriptionBlackTree Technical Group is a full-service staffing and recruitment firm. Our team consists of an experienced group of Senior Technical Recruiters and Account Managers with over 40 years of industry experience. Our firm prides itself on our technical knowledge, innovative sourcing strategies, and most importantly, a long-standing record of proven results for both clients and job-seekers.BlackTree Technical Group is a full-service staffing and recruitment firm. Our team consists of an experienced group of Senior Technical Recruiters and Account Managers with over 40 years of industry experience. Our firm prides itself on our technical knowledge, innovative sourcing strategies, and most importantly, a long-standing record of proven results for both clients and job-seekers.

Job Description From our nation’s earliest days, ABCorp has been a trusted force in security and innovation. In 1795, the federally chartered Bank of the United States entrusted American Bank Note Company with the critical mission of producing counterfeit-resistant currency for the young Republic. This early history established our company, now known as ABCorp, as a pioneer in secure printing, with innovations that served not only American banks but also international clients, a legacy that shaped our evolution into a global leader in secure manufacturing. What began with protecting America’s financial foundation now drives cutting-edge solutions that safeguard organizations worldwide. Today, ABCorp sits at the intersection where authentication, payments, and secure access embrace next-gen (including additive 3D) manufacturing to meet the demands of a digitally driven world. We have built 230 Years of Expertise – no one knows secure manufacturing and authentication better, and no one has done it longer. We maintain global reach and compliance with eight locations around the world, and we’ve been trusted by fintechs, financial institutions, healthcare companies, governments, and brands across 120+ countries. We deliver end-to-end innovation through high-security, state-of-the-art facilities that are incubators for advancements in payments, secure access, and additive manufacturing. The Team At ABCorp, we know that our legacy and decades of achievement are powered by an exceptional team that embodies a true startup mindset. The Analytics Engineering Team at ABCorp partners closely with Product Management, Engineering, Sales, and Customer Success to build the data foundations that drive product strategy and business decisions. Analytics Engineers serve as trusted advisors to stakeholders across the organization, translating complex data into actionable insights that shape our secure payment products, enterprise SaaS platforms, and digital consumer experiences. Our team owns everything from data modeling and instrumentation to metrics definition, experimentation frameworks, and self-service analytics that empower teams to make data-driven decisions at scale. Learn more about ABCorp's story, products and team at abcorp.com. The Role ABCorp is seeking a highly skilled Senior Analytics Engineer to own the data and analytics strategy for our secure payment card solutions and enterprise SaaS products. This role will serve as a hybrid Data Analyst and Data Engineer, understanding the business problems to solve and building scalable data infrastructure to achieve business goals. The ideal candidate will possess strong analytical and technical skills, excellent communication abilities, and a proven track record of partnering with product and business teams to drive measurable impact through data. The ideal candidate will bring an intense focus on data quality and reliability, an ability to influence cross-functional stakeholders, strong product intuition paired with analytical rigor, and a passion for building scalable data models and self-service analytics capabilities. As a key partner to our Product and Engineering teams, you will help shape products that reach millions of people in their everyday lives across fintech, commercial, healthcare, and government industries worldwide. This is an in-person role with our team based in Boston, MA. How You’ll Make a Difference: • Partner closely with Product Management, Sales, and Customer Success teams to understand their data and reporting needs, translating business questions into structured analysis, metrics, and data-driven insights., • Build and maintain data warehouse models that serve as the source of truth for product usage, customer engagement, manufacturing efficiency, and business performance metrics., • Design, implement, and own key performance indicators (KPIs) and metrics frameworks that measure product success, user adoption, feature utilization, and business outcomes across our payment card manufacturing, enterprise SaaS, and digital issuance products., • Create dashboards, reports, and self-service analytics tools that enable stakeholders across Product, Sales, Customer Success, and Operations to access and act on data independently., • Model and integrate data from multiple sources including CRM systems, product usage events, manufacturing operations, billing systems, and customer feedback to power automation, enrichment, and operational workflows., • Collaborate with Product and Engineering teams on event instrumentation, schema design, and data collection best practices to ensure clean, reliable data capture., • Conduct deep-dive analyses on customer behavior, feature adoption, conversion funnels, retention patterns, and operational efficiency to identify opportunities and inform product roadmap prioritization., • Support experimentation and A/B testing initiatives by designing test frameworks, analyzing results, and communicating findings to stakeholders., • Own data quality, observability, and governance practices including documentation, testing, and monitoring to ensure trustworthy analytics., • Build forecasting models and contribute to strategic planning by providing data-driven projections on customer growth, revenue, and product performance., • Identify opportunities to automate reporting, improve data pipelines, and scale analytics capabilities as the business grows., • Serve as a trusted data partner and educator, helping teams across the organization develop stronger data literacy and make better decisions. Who You Are • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related field., • 3-5+ years of experience in product analytics, data analysis, or analytics engineering roles, ideally supporting SaaS, payments, fintech, ecommerce, or enterprise software products., • Expert-level proficiency in SQL and experience with analytical data modeling, ideally using tools like dbt, SQLMesh, or similar frameworks., • Strong experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks, and familiarity with ELT/ETL workflows., • Proficiency with BI and visualization tools such as Tableau, Looker, Mode, Hex, or similar platforms for building dashboards and reports., • Working knowledge of Python or R for data analysis, automation, and light data engineering tasks., • Demonstrated ability to translate ambiguous business questions into clear analytical frameworks and actionable recommendations., • Strong communication skills with the ability to present complex data insights to both technical and non-technical audiences., • Experience working cross-functionally with Product, Engineering, Sales, and Customer Success teams., • Comfort working with product analytics data including event tracking, user behavior, funnel analysis, cohort analysis, and retention metrics., • Experience with experimentation, A/B testing, and statistical analysis is a plus., • Familiarity with payments, card issuance, authentication, identity, fintech, or secure manufacturing domains is a plus., • Self-starter mindset with strong ownership, attention to detail, and ability to work independently in a fast-paced, evolving environment., • Ability to work onsite in Boston, MA. Please note we are unable to offer any visa sponsorship for this position. Why Join ABCorp? • Unique opportunity to build data capabilities and drive insights on a global scale., • Ability to shape analytics for secure payment, authentication, identity and additive manufacturing products that impact people's everyday lives., • Opportunity to work with a market leader at the intersection of fintech, security, and digital products., • Company with rich legacy of innovation and trust., • Incredible global team with collaborative work environment., • Competitive salary and benefits package., • Professional growth and development opportunities.

Job Description COMPANY DESCRIPTION: A career here is life-enhancing. At Syner-G, we enable our people to build careers that impact positively on their quality of life. Through our expertise, insight, consulting and management skills, we accelerate breakthrough science and delivery of life-enhancing therapies to more patients. We work across a diverse range of clients and projects, supporting many organizations from the most critical phases of the drug discovery and approval process through to commercialization. It is meaningful, varied and thought-provoking work with a strategic emphasis, a solutions-driven approach and significant, real-world outcomes, from science to delivery/success. To learn more about who we are and what drives us, watch our company video here. Underpinning this mission is a culture that aligns perfectly with what we want to achieve. We enable our people to grow, we support them in their learning and we reward them in so many different ways. In return, they play an instrumental role in maintaining our reputation across the globe as a strategic biopharma product development and delivery partner. Syner-G was recently honored with BioSpace's prestigious "Best Places to Work" 2026 award, for the third consecutive year, along with many other award-winning programs to make a career here truly life-enhancing. These recognitions are a testament to our commitment to fostering a positive and engaging work environment for our employees, with a particular emphasis on culture, career growth and development opportunities, financial rewards, leadership and innovation. At Syner-G, we recognize that our team members are our most valuable asset. Join us in shaping the future, where your talents are valued, and your contributions make a meaningful impact. For more information, visit www.Synergbiopharma.com POSITION OVERVIEW We are seeking a Validation Engineer with 4–7 years of experience to support the development, execution, and management of validation activities across equipment, utilities, facilities, computerized systems, and manufacturing processes. This role is responsible for ensuring compliance with internal quality standards and regulatory requirements by generating, executing, and maintaining validation lifecycle documentation. The Validation Engineer will play a key role in supporting operational readiness, tech transfer, and continuous improvement initiatives. KEY RESPONSIBILITIES (This list is not exhaustive and may be supplemented or adjusted as needed.) • Generate and execute validation lifecycle documentation (FAT, SAT, IOQ, PQ) for equipment, utilities, facilities, cleaning processes, shipping systems, and other GMP‑regulated assets., • Support validation activities for internal and client tech transfer projects, including authoring, executing, reviewing, and closing validation documents such as risk assessments, validation plans, IQ, OQ, PQ, test methods, and validation reports., • Write, review, and revise qualification and verification documents, including SOPs, master validation plans, execution plans, URS, FRS, design specifications, FAT documentation, verification protocols, and commissioning test procedures., • Prepare summary reports for validation, verification, commissioning, and requalification activities., • Develop and support procedures, investigations, protocols, reports, and change controls for Maintenance, Engineering, and Quality functions., • Perform P&ID walkdowns to verify installation and system readiness., • Conduct thermal mapping of temperature‑controlled chambers, warehouses, and SIP processes., • Support resolution of regulatory observations, audit findings, and manufacturing site issues related to validation., • Perform periodic reviews and requalification activities for temperature‑controlled systems and other validated assets. QUALIFICATIONS AND REQUIREMENTS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Education • Bachelor's degree in a life science, engineering, or related technical field. Technical Experience • 4–7 years of experience in the biotech, pharmaceutical, or medical device industry., • Strong knowledge of FDA cGMP requirements, FMEA, and risk‑based validation principles., • Hands‑on validation experience in equipment, computerized systems (CSV), analytical methods, and process validation., • Experience generating protocols for automated production systems, with emphasis on computerized equipment and systems validation., • Demonstrated experience writing IQ, OQ, PQ, and CSV reports. Knowledge, Skills, and Abilities • Strong verbal and written communication skills, with the ability to explain technical concepts to non‑technical stakeholders., • Detail‑oriented with strong organizational and documentation skills., • Ability to work independently and collaboratively in a fast‑paced, regulated environment., • Strong problem‑solving skills and the ability to support investigations and root‑cause analysis. ESSENTIAL FUNCTIONS: Physical Demands: The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. TOTAL REWARDS PROGRAM: We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work "almost anywhere." However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India. Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. LEGAL STATEMENT: Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employer. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI:We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAt Board, we help enterprises plan smarter, drive outcomes and lead transformation with one single Intelligent Planning Platform. Trusted by thousands of leading organizations, over the last 28 years, we have designed our Product with enterprise planning agility in mind and the passionate care of our people as our main driver. We strongly believe every colleague brings unique value to our whole organization. We collaborate openly and effectively to deliver results and celebrate our shared success, thrive on innovation and embrace a growth mindset to aim higher every day. If you’re a forward-thinker looking for the great next step in your career within an innovative and collaborative environment, Board is the right workplace for you! We are looking for an Associate AI Engineer to join our AI Center of Excellence on a 6-month contract. In this role, you will work alongside AI engineers and business stakeholders to design, build, and deploy AI-powered solutions that improve business processes and drive operational efficiency across the organization. You will contribute to real-world AI initiatives, leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures to address business challenges and deliver measurable impact. What you’ll do • Partner with teams across Customer Success, Support, Professional Services, Sales, and other business functions to identify and deliver high-impact AI use cases that improve productivity and operational efficiency., • Understand business objectives and technical requirements, and design AI-powered solutions to address real-world challenges., • Build, test, and deploy AI applications and production-ready prototypes using state of the art technologies., • Design and implement AI-enabled workflows, including intelligent document processing, multi-agent solutions, AI-based routing, and decision-support capabilities., • Support the end-to-end delivery of AI initiatives, from use case definition and solution design through deployment and adoption., • Integrate AI solutions with enterprise platforms and business systems, including CRM, ERP, ITSM, marketing, finance, and procurement applications., • Contribute to the development and maintenance of reusable AI components, tools, and internal best practices., • Collaborate with AI engineers and stakeholders in architecture reviews, testing, and knowledge-sharing activities., • Ensure AI solutions align with governance, security, compliance, and responsible AI standards, including monitoring for quality, reliability, and potential bias. What We’re Looking For • Academic background in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field., • Knowledge of AI and GenAI fundamentals, either through academic or professional work., • Experience developing production-level solutions using Python and working with APIs, data pipelines, or AI frameworks., • Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development tools., • Knowledge of Azure AI Services or other cloud-based AI platforms is a plus., • Understanding of software development best practices and the AI solution lifecycle., • Strong analytical and problem-solving skills, with the ability to translate business challenges into practical solutions., • Excellent communication skills, including the ability to explain technical concepts to both technical and non-technical audiences., • Collaborative mindset with the ability to build effective working relationships across teams., • Customer-focused approach and genuine interest in improving business outcomes through technology., • Curious, proactive, and eager to learn new technologies in a fast-paced environment., • Adaptable and comfortable working with ambiguity, changing priorities, and evolving business requirements., • Strong organizational and time-management skills, with attention to detail and a commitment to delivering high-quality work., • Creative thinker with a passion for innovation, continuous improvement, and emerging AI technologies. Our Commitment to Diversity, Equity and Inclusion Join a company that believes in the added value of diversity, inclusion, and belonging. We foster a working environment in which all people are respected and valued, for all aspects which make them unique. We hire you for who you are, and we want you to bring your true self to work every day! Board International is an equal opportunity employer and is committed to a diverse and inclusive workforce. Your personal data will be stored for as long as it is necessary to process the job applications that you submitted and for the provision of the service that you requested. Your personal data may also be processed for the fulfillment of the obligations provided for by law. Your data will in any case be deleted without unjustified delay once the aforementioned legal obligations have been fulfilled. Your personal data are collected and used by Board International SA and/or its subsidiaries that are located in the EU or outside on the basis of the appropriate safeguards provided by the European Regulation 2016/679. At any time you may request to access, to correct and/or delete your personal data used by Board International SA or by its subsidiaries for recruiting purposes. For further question, please refer to our Privacy Policy at https://www.board.com/en/privacy-policy Powered by JazzHR LeNTy0zfun

Job Description About InvoiceCloud: InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It's an award-winning, purpose-driven environment where top talent thrives. To learn more, visit InvoiceCloud.com. Job Details: We are seeking a highly skilled and results-oriented AI Security Engineer to support the Cybersecurity, Engineering, and Data Science organizations. This role plays a critical part in advancing InvoiceCloud's AI-first strategy by ensuring that AI/ML and generative AI systems are secure, resilient, compliant, and aligned with business objectives. This is role operates as a subject matter expert in AI security. The ideal candidate brings deep expertise in application security, AI/ML risk, and cloud-native security engineering, and serves as a trusted partner to Engineering, Product, DevSecOps, Legal/Privacy, and Security Operations. Success requires strong ownership, structured problem solving, cross-functional collaboration, and the ability to balance risk reduction with business velocity. Success Profile: This role is anchored in our company's core competencies—These competencies reflect the mindsets and behaviors that define success in this role. We outline how each competency translates into real-world actions and outcomes specific to this role. Results Driven • Leads AI Security Architecture & Secure Design initiatives by designing and implementing lifecycle security controls across data ingestion, training, evaluation, deployment, and monitoring environments to measurably reduce AI-specific risk while maintaining product velocity., • Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems, evaluating risks such as prompt injection, data poisoning, model extraction, model inversion, abuse/misuse, and data leakage, and mapping findings to OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF to drive remediation through engineering teams., • Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems by implementing prompt and output telemetry, tool-call logging, anomaly detection, and AI-specific incident response playbooks integrated into SIEM/SOC workflows., • Delivers measurable outcomes aligned to 30-, 150-, and 210-day milestones, including secure reference architectures, hardened AI environments, integrated security controls, and executive-ready reporting on AI risk reduction and posture maturity. Takes Ownership • Establishes and formalizes AI Governance, Privacy & Third-Party Risk requirements by defining security expectations for AI use cases, third-party models, vendor integrations, and sensitive data usage, embedding controls into SDLC, procurement, and engineering standards., • Drives Cross-Functional Collaboration & Enablement by partnering with Engineering, Data Science, DevSecOps, Product, Legal/Privacy, and SOC teams to align on risk appetite, escalation paths, and secure design guardrails while raising AI security maturity across the organization., • Inventories current and planned AI/ML initiatives, documents system architectures and sensitive-data touchpoints, and implements a structured AI security intake and risk-rating process that ensures accountability and transparency., • Develops and communicates forward-looking 6- and 12-month AI security maturation plans that align technical priorities with business goals and clearly articulate risk trends, metrics, and investment needs to Security leadership and the CISO. Drives Efficiency • Integrates Secure MLOps / MLSecOps controls into AI delivery pipelines, including secure model registries, artifact signing and provenance validation, dependency scanning, secrets management, CI/CD guardrails, and hardened training and inference environments across AWS and Azure., • Builds and scales AI Security Testing & Red Teaming workflows by creating repeatable adversarial evaluation plans for jailbreaks, model evasion, prompt injection, and data exfiltration scenarios, ensuring security controls remain effective over time., • Develops automated regression test harnesses to continuously validate AI security protections as models, prompts, and dependencies evolve, reducing manual effort and improving coverage., • Establishes a sustainable AI security operating rhythm that includes intake reviews, threat modeling checkpoints, remediation tracking, and structured monitoring ownership to bring consistency and order to AI risk management Innovative • Advances AI Security Testing & Red Teaming capabilities through adversarial experimentation and multi-dimensional analysis, proactively identifying emerging AI threat patterns before production impact., • Leverages AI and automation to strengthen testing coverage, automate regression validation, enhance anomaly detection logic, and improve the scalability of AI security monitoring and response., • Continuously evaluates emerging AI security research, tooling advancements, and regulatory developments, translating insights into adaptive defensive controls that support InvoiceCloud's AI-first strategy while enabling responsible innovation. Requirements • Bachelor's degree in Computer Science, Cybersecurity, Engineering, Data Science, or related field (or equivalent practical experience)., • 5+ years of experience in security engineering, application/product security, cloud security, or DevSecOps., • 2+ years of experience building or securing AI/ML systems (including LLM-based applications) in production environments., • Strong understanding of AI/ML threats and defenses, including prompt injection, data poisoning, model extraction, model inversion, adversarial inputs, data leakage, and abuse/misuse scenarios., • Experience integrating security into CI/CD and MLOps pipelines., • Proficiency with cloud platforms (AWS and Azure), container security, IAM, network segmentation, key management, and secrets management., • Familiarity with industry guidance such as OWASP GenAI/Top 10 for LLM Applications, MITRE ATLAS, and/or NIST AI RMF preferred., • Relevant certifications such as CISSP, CSSLP, CCSP, Azure Security certifications, or GIAC certifications preferred. Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay. The above represents the expected base compensation range for this job requisition. Ultimately, in determining your pay, we'll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors. Base Compensation Range$160,000—$180,000 USD InvoiceCloud is committed to providing equal employment opportunities to all employees and applicants. We do not tolerate discrimination or harassment of any kind based on race, color, religion, age, sex, nationality, disability, genetic information, veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected under applicable laws. This commitment applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoff, recall, transfer, leave, compensation, and training. If you require a disability-related or religious accommodation during the application or recruitment process, and wish to discuss possible adjustments, please contact jobs@invoicecloud.com. Click here to review InvoiceCloud's Job Applicant Privacy Policy. For recruitment agencies: InvoiceCloud does not accept unsolicited resumes from agencies. Please do not forward resumes to our job aliases, employees, or any other company location. InvoiceCloud is not responsible for any fees associated with unsolicited submissions.

Job Description About Care Access Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all. To learn more about Care Access, visit www.CareAccess.com. How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the development and maintenance of our analytics infrastructure, working closely with the data analysts, data engineers, and business stakeholders. This role is responsible for building and maintaining foundational data models, ensuring data quality, and enabling efficient and reliable reporting. How You'll Make An Impact • Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team., • Transform data into well-documented, tested, and trusted datasets for analysis and reporting., • Collaborate with data analysts and stakeholders to understand data needs and implement models that support dashboards, KPIs, and deep-dive analyses., • Help monitor data pipeline performance and resolve data quality issues proactively., • Contribute to documentation of data models, definitions, and data lineage., • Stay current with modern data stack tools and techniques and apply learning to support data team initiatives., • Provide ad hoc and regular cadence analytics and reporting that supports current goals and business initiatives, • Provide business support to the operations team as needed and interface with strategic customers when required The Expertise Required, • Proven analytical and organizational skills to meet deadlines in an environment of often-changing priorities, conceptual thinker comfortable with ambiguity, • Proficiency in SQL and data warehousing concepts, • Understanding of data modeling concepts, • Exposure to modern data stack tools, • Understanding of version control systems, • Understanding of ETL/ELT processes and data pipeline concepts., • Ability to work effectively with data analysts, engineers, and business stakeholders to understand requirements and deliver usable data assets. Certifications/Licenses, Education, and Experience:, • Minimum Education:, • Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Engineering, Information Systems) or equivalent practical experience., • Minimum Experience:, • 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer) How We Work Together, • Location: Remote within the United States. This role requires 100% of work to be performed in a remote office environment., • Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role., • Physical demands associated with this position Include: The ability to use keyboards and other computer equipment. The expected pay range for this role is $80,000-$110,000 USD per year for full time team members. Benefits & Perks (US Full Time Employees) • Paid Time Off (PTO) and Company Paid Holidays, • 100% Employer paid medical, dental, and vision insurance plan options, • Health Savings Account and Flexible Spending Accounts, • Bi-weekly HSA employer contribution, • Company paid Short-Term Disability and Long-Term Disability, • 401(k) Retirement Plan, with Company Match Mandatory Employer Disclosures: Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction. Notice to Connecticut applicants: Care Access may require applicants to submit to a urinalysis drug test in connection with an application for employment. Notice to Arizona, Georgia, Indiana, and North Dakota applicants: Care Access complies with applicable laws prohibiting smoking in and around places of employment. Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Notice to Rhode Island applicants: Care Access complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. Care Access is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws. Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100. #LI-Remote Diversity & Inclusion We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Care Access is unable to sponsor work visas at this time. If you need an accommodation to apply for a role with Care Access, please reach out to: TalentAcquisition@careaccess.com

Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is redefining autonomous aviation with cutting-edge AI and GPS/RF-denied navigation technologies. Now, we’re building our next-generation aircraft, XBAT, like no other—one that will push the boundaries of innovation and performance. As a Component Engineer at Shield AI, you’ll own the selection, qualification, and lifecycle management of electronic components across our products. You will drive component decisions that reduce risk, control cost and ensure long-term product reliability and survivability. This role sits at the intersection of engineering, supply chain and reliability. What you'll do: • Own component data and governance in PLM (part creation, attributes, AML/AVL, lifecycle states), • Review and approve new component requests, • Define baseline quality requirements for COTS components and enforce them through design BOM reviews, • Monitor and assess PCNs and lifecycle changes (NRND/EOL), and drive mitigation actions through Engineering Change Orders (ECOs), • Partner with Electrical Engineering to select components that meet performance, cost, and availability targets, • Build and maintain preferred parts lists and approved vendor lists (AVL), • Support supply chain with alternate part evaluations and second-sourcing strategies, • Engage directly with suppliers to resolve technical questionsRequired qualifications:, • B.S. in an engineering field., • 5+ years of relevant experience, • Understanding of Product Lifecycle Management (Arena, Teamcenter), ECAD tools (Altium) and structured component libraries, • Strong judgment in balancing performance, cost and supply chain risk, • Demonstrated track record of ownership, high standards, and effective collaborationPreferred qualifications:, • Degree in electrical engineering or computer science, • Familiar with industry-standard component qualification process (AEC-Q, NASA, JEDEC, MIL, etc), • Knowledge of electrical component manufacturing processes and common failure modes., • Proficiency in Python/SQL, • Experience writing specifications/standards for internal company distribution#LI-JM2#LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory. About the Role Flexcompute is seeking a highly capable mid-level software engineer to join our Wisconsin-based engineering team. This role is ideal for someone who enjoys building scalable systems, learning quickly, and contributing across multiple layers of a modern engineering platform. You will help develop and improve core infrastructure and user-facing capabilities across our cloud-native simulation and collaboration platforms. Initially, the focus will be on workspace and workbench-related functionality, with opportunities to grow into more advanced platform architecture and distributed systems work over time. You will collaborate closely with experienced engineers, product leaders, and simulation experts while helping shape the next generation of engineering software and AI-enabled workflows. What You’ll Work On Projects may include: • Building and maintaining backend services, APIs, and platform infrastructure, • Developing features for engineering workspaces and collaborative workflows, • Improving scalability, reliability, and performance across cloud systems, • Supporting AI-related infrastructure and intelligent tooling initiatives, • Enhancing developer tooling, automation, and deployment systems, • Contributing to visualization and interactive engineering experiences, • Collaborating across software, infrastructure, and simulation teams Requirements We are looking for engineers with strong technical fundamentals, curiosity, and the ability to ramp up quickly in complex environments. You may be a strong fit if you have: • 3 to 6 years of professional software engineering experience, • Strong programming skills in one or more languages such as Python, C++, Rust, Go, Java, or JavaScript, • Experience building backend systems, APIs, or distributed services, • Familiarity with Linux-based development environments and Git workflows, • The ability to independently drive technical projects and collaborate effectively across teams, • Strong problem-solving ability and attention to detail, • A degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field Preferred Skills • Experience with cloud infrastructure such as AWS, GCP, or Azure, • Familiarity with Docker, Kubernetes, or containerized environments, • Exposure to AI infrastructure, ML systems, or data engineering workflows, • Experience with performance optimization or distributed computing systems, • Interest in scientific computing, GPU acceleration, or simulation platforms Why Flexcompute? Flexcompute offers the opportunity to work on deeply technical challenges with real-world impact across aerospace, semiconductors, energy, advanced computing, and AI-driven engineering. You will join a fast-growing team building next-generation technologies at the intersection of GPU computing, cloud infrastructure, scientific simulation, and AI. Engineers at Flexcompute are given significant ownership, access to world-class mentors, and the opportunity to contribute to products used by some of the world’s most innovative organizations. If you are excited by ambitious technical challenges and want to help shape the future of engineering computing, we encourage you to apply. Benefits Competitive salary Meaningful equity of early-stage startup 401K contribution Health insurance

Job Description WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team is responsible for developing novel algorithms and features that expand our health sensing capabilities. Our work spans several key areas, including women's health, software as a medical device, wellness monitoring, longevity research, and emerging health insights. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. As a Staff Machine Learning Engineer on our Clinical Health team, you will design, build, and productionize ML systems that deliver meaningful, personalized health insights to millions of members. You will work at the intersection of software as a medical device (SaMD), machine learning, backend engineering, and cloud infrastructure—deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. A central part of this role is collaborating with crossfunctional teams that own regulatory, quality, and clinical strategy, to ensure our algorithms are developed with the rigor required for regulated software. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML services within a quality-managed framework. RESPONSIBILITIES: Design, build, and maintain production services that deliver health features, in close collaboration with Applied ML Scientists and ML Research Engineers. Collaborate with Data Platform teams to improve ML data pipelines, tooling, and validation systems that support robust model performance. Work alongside Applied ML Scientists to translate research prototypes into production ML systems optimized for scale, latency, and cost efficiency. Partner with the Digital Health team on algorithmic performance specifications, validation and verification planning, and the design of SPA or algorithm validation studies. Collaborate with researchers and product teams to align model development with health insights and member impact. Participate in on-call rotations for data science services, ensuring uptime and performance in production environments. QUALIFICATIONS: Bachelor's degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master's preferred). 7+ years of professional experience as a Machine Learning Engineer or Software Engineer building production ML systems. Proven experience working with time series data (wearable, physiological, or high-frequency sensor data preferred). Experience designing, deploying, and operating ML inference systems at scale (real-time streaming and/or large-scale batch). Strong coding skills in Python with a track record of writing clean, well-tested, production-quality code. Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models. Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices. Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems. Experience developing ML-enabled software in a regulated or quality-managed environment (SaMD or medical device), with working knowledge of change control, quality documentation, traceability, and verification/validation practices. Demonstrated technical leadership through architecture and design ownership, setting engineering standards, and raising quality through reviews and mentorship. Proven track record driving measurable improvements in system performance, reliability, and/or cost at scale, and influencing cross-functional technical direction. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000-$230,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP.

Job Description Mission Summary: We are seeking an experienced and visionary Staff Engineer to technically anchor our new AI Data Engine team. This pivotal role will drive the technical strategy, architecture, and execution of initiatives aimed at significantly accelerating our ML dataset generation and our data warehouse stack. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future! You will be a hands-on technical leader, blending deep expertise in data systems and infrastructure with the ability to architect complex, highly scalable solutions. While this is an individual contributor role, you will act as a force multiplier—mentoring a high-performing team of engineers, setting rigorous technical standards, and fostering a culture of engineering excellence, innovation, and continuous improvement. What You'll Be Doing: • Technical Leadership & Mentorship:, • Serve as the technical anchor for a high-performing team of data and infrastructure engineers building out Motional's Data Stack., • Influence the technical roadmap, architectural priorities, and project scoping in alignment with broader engineering objectives., • Provide deep technical guidance, peer mentorship, and establish rigorous engineering standards and best practices for the team., • Architecture, Strategy & Execution:, • Define and execute the technical vision and architecture for storing metrics and generating ML datasets for large computer vision and behavioral models., • Identify, evaluate, and prototype cutting-edge technologies and methodologies for speeding up data loaders for training, ingestion of metrics, and querying of large datasets for everything from dashboards to training., • Act as a hands-on contributor for the most complex, high-impact architectural challenges within the data engine space., • Cross-functional Collaboration:, • Collaborate closely with ML research, ML Training platform, and data engineering teams to understand their requirements, co-design scalable architectures, and integrate solutions seamlessly., • Drive technical consensus and communicate complex architectural concepts and strategies to both technical and non-technical stakeholders. What We're Looking For: • Experience:, • BS or MS in Computer Science or related field, • 6+ years of professional experience in data platform engineering, • 3+ years of experience in a technical lead, staff engineer, or senior architecture role, with a proven track record of driving cross-team technical initiatives and mentoring senior engineers., • Extensive experience with managing large (petabyte plus) scale data platforms such as data warehouses, object storage, and ML training data stores., • Extensive experience with workflow orchestration frameworks such as Airflow or Step Functions., • Technical Skills:, • Core Programming: Strong programming skills in Python. C++ experience is a plus., • Agentic AI & LLMOps: Proven experience designing, building, and deploying agentic workflows and multi-agent systems using frameworks like LangChain, LlamaIndex, DSPy, or custom LLM orchestration tools for reasoning and automated data processing., • Storage & Vector Ecosystems: Knowledge of modern data storage formats (Parquet, Iceberg) and vector databases (LanceDB, Milvus, Qdrant) and retrieval architectures (RAG) to manage massive multimodal datasets (video, sensor data, text)., • Cloud & Infrastructure: Strong knowledge of cloud infrastructure (AWS, GCP) solutions, distributed compute, and scalable model serving., • Domain Experience: Prior experience building data warehouses, lakehouse architectures, or active-learning data loops at an advanced machine learning, robotics, or autonomous vehicle company. Bonus Points (not required): • Prior experience in autonomous vehicles (AV) is a plus., • Prior experience with Bazel based build systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$172,000—$229,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.