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\n Genie Healthcare is seeking a travel nurse RN Labor and Delivery for a travel nursing job in San Jose, California. Job Description & Requirements\n \n • Specialty: Labor and Delivery\n, • Discipline: RN\n, • Duration: 13 weeks\n, • 36 hours per week\n, • Shift: 12 hours, days\n, • Employment Type: Travel\n \n 1-year recent RN - L&D experience\n RN - CA start Active License Required \n \n \n \n BLS, ANRP Required \n \n \n Graduate of an accredited nursing program.\n \n \n Preferred Qualifications: \n Bachelors degree in nursing or related field. \n Five (5) plus years of recent experience (must have occurred within the last two (2) years) in Labor and Delivery is preferred \n One (1) year of high-risk labor and delivery experience within the last two (2) years \n High Risk OB experience preferred \n About Genie Healthcare\n \n Genie Healthcare is one of the fastest growing Nurse Travel Agencies in the USA. Genie serves hundreds of facilities and has over 4000 current travel RN contracts open at any given time. \n Genie provides travel RN’s flexibility, support, top pay scale, housing and the #1 rated, multi-state health insurance coverage. \n Genie Healthcare carries with it a commitment to providing a comprehensive level of service and quality care. Growing from a small team of eager recruiters to a company with satisfied clients in nearly every corner of the nation, delivering excellence in patient and customer care is the key to Genie’s success. \n The management team has 20 years of experience in workforce solutions and staffing in medical and non-medical fields, roles ranging from Clerical job to Cardiologist to software developer to CEO. \n \n

Job Description We are seeking a highly skilled and experienced ServiceNow Operations Manager to join our team at Forhyre LLC. The successful candidate will be responsible for managing and leading multiple strategic projects, collaborating with internal and external stakeholders, and ensuring the successful delivery of ServiceNow operations. Qualifications: • 12+ years' experience with software development, design, and architecture, • Bachelor's degree in Computer Science, Information Technology, or related field (Master's preferred)., • 7+ years' experience in solution architecture with emphasis on implementation of SNOW technical solutions, • 8+ years' experience in Agile practices, building software in an enterprise environment., • ServiceNow Certified Implementation Specialist and Certified Application Developer certifications., • Proven experience as a technical leader in ServiceNow implementations, with a deep understanding of ITSM and other ServiceNow modules., • Strong expertise in ServiceNow scripting, workflows, and integrations., • Deep enterprise architecture experience, including technical, business, security, and data architecture, • The ability to set clear and challenging goals while committing the organization to improved performance, tenacious and accountable in getting results., • Strong capability & ability to drive stakeholder & relationship management with all partners, • ServiceNow Certified Application Developer (CAD) or ServiceNow Certified Implementation Specialist., • Solid understanding and hands-on experience in ServiceNow modules such as Change Management, Incident Management, ITOM, IRM, ITAM, Security vulnerabilities (SecOps)., • Demonstrable experience in designing and implementing ServiceNow solutions to meet business requirements., • Experience with Agile and ITIL practices is a plus. Keys to Success in this Role: • Proven ability to work cross-functionally with teams to deliver successful projects., • Excellent problem-solving skills and ability to think critically., • Strong written and verbal communication skills and client facing skills., • Strong organizational skills with the ability to multitask and prioritize multiple priorities., • Work independently with minimal direction., • Ideal candidates would be ServiceNow experts, and certified. If you meet these qualifications and are excited about the opportunity to join our team at Forhyre LLC, please submit your application for consideration.

Job Title: Senior or Staff Software Engineer \n Location: San Francisco (in office) \n \n We are currently partnered with a Series A FinTech firm that specializes in developing credit / banking products for underserved communites globally in search for a Senior / Staff Engineer based out of the Bay Area to join their team. \n \n Responsibilities: \n\n • Design and develop complex backend systems spanning data models, APIs, and distributed components.\n, • Own technical decisions from prototype to production, including scalability, performance, and fault tolerance.\n, • Partner with product and leadership to translate business goals into robust, maintainable architecture.\n, • Identify and manage tradeoffs in design decisions, balancing performance, reliability, and developer experience.\n, • Lead code reviews, mentor teammates, and help set best practices for engineering quality.\n\n \n What We’re Looking for: \n\n • 7+ years of professional software development experience across multiple languages (e.g. Go, Rust, Elixir, Python, TypeScript, etc.)\n, • Strong background in system design, architecture, and building reliable APIs.\n, • Experience designing and maintaining complex, production-grade distributed systems.\n, • Deep understanding of system performance, lifecycle management, and failure modes.\n, • Curiosity and pragmatism when exploring new technologies — you enjoy evaluating tradeoffs and applying the right tool for the job.\n, • Prior startup experience or comfort working in fast-paced, ambiguous environments.\n\n

Job Title: Full Stack Developer \n Location: Pleasanton, CA (Hybrid 3 days onsite) \n \n\n • 7+ years of experience designing, developing, and delivering enterprise web applications\n, • 7+ years of experience as a Java Full Stack Developer using Java, JavaScript, Angular, HTML, Spring Boot, React js and Node.js\n, • 7+ years of experience developing and deploying REST/SOAP web services using microservices architecture\n, • Strong experience with MySQL, MongoDB, Postgres SQL, GitHub, Docker, and Identity & Access Management (IAM)\n, • Strong DevOps experience including GitHub Actions, Bamboo, SonarQube, CI/CD pipelines, and deployment automation\n, • Experience developing responsive web applications and integrating third-party APIs and services\n, • Strong understanding of software development best practices, including code reviews, refactoring, test automation, secure coding, and CI/CD\n, • Ability to create scalable, maintainable, and defect-free applications\n, • Strong analytical and problem-solving skills with the ability to manage multiple priorities\n, • Excellent written, verbal, and interpersonal communication skills\n, • Experience collaborating with global and India-based development teams\n, • Ability to understand and implement AI/LLM-enabled solutions while adhering to AI governance requirements\n\n

Hiring: Kotlin Developer \n \n Location: Sunnyvale, CA (100% Onsite) \n Duration: 6 Months (High possibility of extension) \n \n We are looking for an experienced Kotlin Developer to join a high-impact engineering team working on the re-architecture of a provisioning platform. If you have strong backend development experience and enjoy building scalable cloud-native solutions, we'd love to hear from you! \n \n Required Skills: \n 5+ years of software development experience \n Strong hands-on experience with Kotlin and Java \n Experience with AWS and DynamoDB \n Expertise in designing scalable, flexible, and consistent platform architectures \n Experience building Platform-as-a-Service (PaaS) and custom composition models \n Ability to handle basic DevOps activities and production support/rotation \n \n If you're interested or know someone who would be a great fit, please send your updated resume to Samir@Wiseskulls.com or connect with me on LinkedIn.

Job DescriptionSalary: $175,000 $200,000 (DOE) About Knightscope Knightscope is a security technology company building the Nations First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscopes long-term mission is to make the United States of America the safest country in the world About the Role As Knightscope continues to expand its internal AI capabilities, we are seeking a Full Stack Engineer to own the engineering lifecycle of all GenAI-powered applications built and used by Knightscope employees. This is a hands-on, high-impact role responsible for designing, developing, securing, and maintaining internal AI tools that enhance operational efficiency across the company. You will serve as the central technical owner ensuring that all internal GenAI applications are built with security, scalability, and responsible AI principles embedded from the ground up. The ideal candidate brings full stack engineering expertise, a deep understanding of the Secure Software Development Lifecycle (SSDLC), and hands-on experience integrating large language models and AI APIs into production applications. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities GenAI Application Ownership • Serve as the technical owner and primary maintainer of all internal GenAI/AI-powered applications across the company, spanning departments such as Operations, Sales, Finance, HR, and Engineering., • Maintain a centralized registry of all employee-built GenAI tools, ensuring visibility, governance, and version control across all applications., • Evaluate, onboard, and integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI) and open-source models into internal tooling., • Partner with cross-functional stakeholders to scope, prioritize, and deliver new AI-powered features and tools that address real business needs Full Stack Development • Design and build scalable, maintainable front-end interfaces (React, Next.js, or equivalent) for internal AI tools and dashboards., • Develop and maintain back-end APIs, microservices, and data pipelines (Python, Node.js, or equivalent) to support AI model inference, data retrieval, and workflow automation., • Architect and manage cloud infrastructure (AWS, GCP, or Azure) to host and scale GenAI applications reliably and cost-effectively., • Implement RAG (Retrieval-Augmented Generation) pipelines, vector databases, and prompt engineering frameworks to enhance AI application performance. Secure Software Development Lifecycle (SSDLC) • Champion and enforce SSDLC best practices across all GenAI projects, including threat modeling, secure code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning., • Design authentication, authorization, and data privacy controls for all AI applications, ensuring compliance with company security policies and applicable regulations., • Identify and remediate prompt injection vulnerabilities, data leakage risks, and model misuse scenarios specific to LLM-based applications., • Establish CI/CD pipelines with integrated security gates, automated testing, and deployment guardrails for all GenAI applications., • Conduct regular security audits and vulnerability assessments of GenAI applications and maintain a risk register for AI-specific threats. Governance & Standards • Define and document internal standards for AI application development, including coding standards, API usage policies, prompt guidelines, and data handling requirements., • Review and approve employee-built AI applications prior to production deployment, enforcing quality, security, and compliance standards., • Monitor AI application usage, performance, and costs (token consumption, API spend), and provide regular reporting to leadership., • Stay current with the rapidly evolving GenAI landscape and proactively recommend new tools, frameworks, or approaches that benefit Knightscope. Required Qualifications Experience & Education • 48 years of full stack software engineering experience, with at least 2 years working directly with AI/ML APIs or LLM-based applications in a production environment., • Bachelors degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)., • Demonstrated experience owning multiple software projects end-to-end, from architecture through deployment and ongoing maintenance. Technical Skills • Proficiency in front-end development: React, TypeScript, Next.js, or equivalent modern frameworks., • Strong back-end skills: Python and/or Node.js; experience with REST and GraphQL APIs; familiarity with FastAPI, Flask, Express, or similar frameworks., • Hands-on experience with LLM/GenAI integration: OpenAI API, Anthropic Claude API, Langchain, LlamaIndex, or equivalent frameworks., • Experience with vector databases (Pinecone, Weaviate, pgvector, or equivalent) and RAG architecture patterns., • Cloud platform experience (AWS, GCP, or Azure): containerization (Docker, Kubernetes), serverless functions, managed databases, and IAM/secrets management., • Strong understanding of the Secure Software Development Lifecycle (SSDLC), including threat modeling, OWASP Top 10, SAST/DAST tooling, and secrets management., • Familiarity with AI-specific security risks: prompt injection, data exfiltration, model inversion, and jailbreak mitigation strategies., • Proficiency with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent) and DevSecOps practices., • Solid understanding of database design: relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). Preferred Qualifications • Security certifications such as CSSLP, CompTIA Security+, AWS Security Specialty, or equivalent., • Experience building internal developer platforms, tooling portals, or enterprise AI application hubs., • Background in robotics, IoT, or physical security technology environments., • Familiarity with AI governance frameworks, responsible AI principles, and emerging regulations (e.g., EU AI Act, NIST AI RMF)., • Experience with observability tooling (Datadog, Grafana, OpenTelemetry) and monitoring LLM application performance and costs. Compensation & Benefits • Base Salary: $175,000 $200,000 (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. What You'll Do: The Observability Engineering organization at CoreWeave is responsible for the platforms and practices that help engineers understand, operate, and improve production systems at scale. This team owns and evolves the foundations for metrics, logs, traces, telemetry pipelines, and observability reliability, enabling teams to detect issues quickly, troubleshoot complex distributed systems, and operate AI infrastructure with confidence. As CoreWeave continues to scale, observability plays a critical role in delivering reliable platform experiences, improving engineering velocity, and maintaining operational excellence across a rapidly growing cloud environment. About the role: CoreWeave is seeking a Senior Manager, Observability Engineering to lead a team responsible for building, scaling, and operating observability systems across metrics, logs, traces, and telemetry pipelines. In this role, you will define strategy and roadmap, drive platform reliability and performance improvements, and guide architectural decisions across observability infrastructure. You will partner closely with infrastructure, platform, security, and application engineering teams to improve instrumentation and production visibility. This role combines technical leadership, operational ownership, and team management to ensure observability platforms scale with business and customer needs. Who You Are: • 8+ years of software engineering experience with production systems at scale, • 4+ years of engineering management experience leading senior engineers and technical leads, • Experience building and operating observability platforms across logs, metrics, traces, and alerting in distributed systems, • Knowledge of reliability engineering concepts including SLOs, SLIs, incident management, error budgets, and fault-tolerant design, • Experience scaling telemetry systems including collection pipelines, storage backends, and query layers, • Experience with distributed systems, performance engineering, and trade-offs involving scale, resilience, and cost, • Experience partnering with infrastructure, security, and application engineering teams to drive platform adoption, • Experience hiring and managing engineering teams Preferred: • Experience with OpenTelemetry, Grafana, Prometheus-compatible systems, log aggregation, and distributed tracing tools, • Experience operating cloud-native infrastructure, including Kubernetes environments, • Experience supporting large-scale cloud, developer platforms, or AI/ML infrastructure, • Familiarity with capacity planning for high-ingest telemetry systems, • Experience scaling platforms in high-growth environments Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love solving complex systems problems across infrastructure, reliability, and developer productivity, • You're curious about improving observability, debugging workflows, and large-scale distributed systems, • You're an expert in balancing scalability, reliability, and cost in production environments Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption Our Workplace While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team. The ideal candidate will have a minimum of 8 years of professional experience as an UI Developer and experience in Java Backend +Node JS +AWS or Fullstack + Node JS + AWS kind of profiles. As a Consultant NodeJS with AWS (cloud), you will be responsible for developing, implementing, and maintaining software solutions using NodeJS and AWS cloud technologies. You will work on a variety of projects and collaborate with cross-functional teams to design and develop high-quality software solutions that meet the needs of our clients. Essential Skills: • Minimum 8 years of professional experience as an UI Developer, • Strong experience with NodeJS, ReactJS and ExpressJS, • Proficient in programming language: Python or Java, • Experience with other Java technologies such as JSF framework, AJAX, Spring application framework, Hibernate object/relational persistence, JavaScript, HTML 5, and CSS 3, • Unix shell scripting is preferred, • Ability to work in Agile sprint teams, • Strong experience with AWS technologies including AWS CodeBuild, AWS CodeCommit, AWS CodePipeline, AWS Lambda, API Gateway, AWS CLI/Yaml/CloudFormation, and Serverless Deployment If you possess the required skills and experience for this role, we would love to hear from you. We offer a competitive salary, comprehensive benefits package, and opportunities for growth and advancement within our organization. To apply, please submit your resume and cover letter detailing your experience and qualifications for this position.

Job DescriptionSalary: $155,000 $210,000 each (DOE) About Knightscope Knightscope is a security technology company building the Nations First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscopes long-term mission is to make the United States of America the safest country in the world. About the Role Knightscope is seeking two Senior Audio/Video Engineers to own the real-time audio and video infrastructure across the ICM and Signals platforms. These engineers will be responsible for the full A/V stack from WebRTC ingest and GStreamer pipeline architecture to low-latency audio processing and multi-stream rendering. Given the thin talent pool for combined WebRTC and low-latency audio expertise, both positions will be recruited simultaneously. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design, build, and maintain the end-to-end real-time video pipeline: WebRTC/RTSP/RTMP ingest, hardware-accelerated transcoding, and simultaneous multi-stream rendering for up to 10 concurrent robot video feeds., • Architect and optimize GStreamer-based multi-branch pipelines for video capture, processing, recording, and cloud upload (S3) including codec selection, pad/cap negotiation, and plugin development., • Own the full audio subsystem: real-time two-way audio, SIP/VoIP integration (pjsip/Asterisk), text-to-speech (AWS Polly), and talk-down functionality with a sub-200ms end-to-end round-trip latency target., • Implement and optimize WebRTC signaling, ICE, DTLS-SRTP, and media server components for reliable low-latency communication across distributed robot deployments., • Profile, debug, and tune A/V pipeline performance for low latency, high throughput, and resilience under concurrent multi-robot load and variable network conditions., • Build Make-a-Clip functionality enabling operators to extract, annotate, and store video segments from live and recorded feeds., • Define and maintain A/V API contracts in collaboration with ICM and Signals platform engineers; contribute to code reviews, technical documentation, and on-call runbooks., • Mentor junior engineers and contribute to architectural decisions across the A/V stack. Required Qualifications • 710 years of software engineering experience specializing in real-time audio and video systems in production environments., • Deep expertise in WebRTC including signaling protocols, ICE/STUN/TURN, DTLS-SRTP, RTP/RTCP, and media server architecture (Janus, mediasoup, or equivalent)., • Strong hands-on proficiency with GStreamer at the developer level: building and debugging complex multi-branch media pipelines, working with elements, pads, caps, and custom plugins., • Proficiency in C/C++ (C++11/14/17) for performance-critical media and networking code; Python for tooling and automation., • Solid experience with SIP/VoIP protocols and stacks (pjsip, Asterisk, or equivalent) and low-latency audio processing., • Strong understanding of audio/video codecs (H.264/H.265, VP9, AAC, Opus) and streaming protocols (RTSP, RTMP, HLS, RTP)., • Experience with AWS media services (S3, Kinesis Video Streams, Polly, or equivalent) and cloud-based media pipeline architectures., • Familiarity with hardware-accelerated video processing (NVIDIA NVENC/NVDEC, V4L2, or equivalent) is a strong plus., • BS in Computer Science, Electrical Engineering, or equivalent professional experience. Compensation & Benefits • Base Salary: $155,000 $210,000 each (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job DescriptionCompany Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ Job Description We are looking for a skilled Kubernetes DevOps Engineer to drive end-to-end custom integration across our k0rdent-ai platform. You will collaborate with our engineering teams to design and deliver scalable AI infrastructure on Kubernetes environments. Your responsibilities will include contributing to open-source projects, making strategic architectural decisions, and partnering with external organizations to integrate cutting-edge solutions. Working within an agile framework, you will directly impact how enterprises deploy and manage AI workloads at scale. Main Responsibilities Design, implement, and document Kubernetes hardened integrations that connect with enterprise customer environments Build comprehensive automation pipelines for infrastructure provisioning and service deployment across hybrid cloud architectures Provide operational support by diagnosing, triaging, and resolving complex system issues with clear prioritization based on customer business impact Work with core cloud-native technologies and AI frameworks including k0rdent, k0s, k0smotron, Kubeflow, Kserve, vLLM, Nvidia AI Enterprise, Kubevirt, Harbor, ArgoCD, Grafana monitoring platforms and more Partner closely with customer development teams to ensure successful application deployment and optimization on Kubernetes infrastructure Qualifications Strong Kubernetes expertise as a user and operator Strong knowledge of hardened, high-quality Kubernetes integration General experience with Linux, virtualization, networking, and storage Overall system architecture, scalability, reliability, and performance experience Experience in debugging, diagnosing, and troubleshooting complex production software Experience in developing and maintaining services built on microservice architecture Experience in large enterprise IT ecosystem Preferably a university/master degree in Mathematics, Electronics, Telecommunications, or Software Engineering Excellent communication in English - written and spoken Nice to Have: OpenStack experience - familiarity with the APIs as a user Experience handling talks at events and running webinars Experience in onboarding applications to the cloud Production operations experience Experience with design, development, testing, and monitoring of large-scale and data-intensive systems Experience with operating AI-related workloads What does Mirantis offer you? Work with an established global leader in the cloud infrastructure industry. Work with exceptionally passionate, talented, and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies. Be a part of cutting-edge, open-source innovation. Have a real impact on the world. Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued. Competitive compensation package with strong benefits plan and stock options. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Professional development and training;, • Attend conferences and working groups;, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. We are a Leader for Container Management in G2 (#2 after AWS)!

Job DescriptionAbout Us We are an elite, research-backed AI infrastructure startup building the defining workflow intelligence and policy management layer for enterprise multi-agent applications. While the market has flooded with tools to build simple AI agents, nobody has cracked the infrastructure gap required to scale them efficiently, safely, and cost-effectively in production. We bridge this exact gap by applying deep systems programming, software-defined networking, and OS-level primitives to AI workflow orchestration. We recently closed a $5M Seed round and operate as a flat, hyper-technical team of three. Our leadership includes: • The CEO: A 3x deep-tech founder (PhD, ex-Bell Labs, ex-Qualcomm) who successfully scaled his last venture from Seed to Series B., • The Co-Founder: A Regents Chair Professor at UT Austin and world-renowned ML systems researcher with a pedigree spanning CMU and Stanford. Our core technology originates from a top-tier academic research group. This is not another API wrapper—this is a foundational infrastructure play designed for the next frontier of enterprise software. What You'll Be Doing • Bridge Research & Production: Work directly alongside our Chief Architect and CEO to translate cutting-edge ML systems research into an enterprise platform that product developers love to use., • Build the Orchestration Fabric: Design and implement full-stack ML systems for multi-agent workflow orchestration, merging deep backend systems capability with clean, satisfying developer interfaces., • Architect the Scaling Layer: Develop the policy-driven scaling mechanics that govern multi-agent interactions, resolving the infrastructure bottlenecks that limit agentic autonomy at scale., • Own the Developer Experience: Take research-grade ideas and make them legible by authoring technical documentation, code examples, sample applications, and intuitive onboarding flows., • Systems Integration: Collaborate across distributed systems design, networking configurations, and asynchronous event streams applied directly to runtime AI operations.What We're Looking ForExperience & Seniority, • 5+ years of production experience engineering ML systems, OR a PhD from a top-tier institution in a relevant ML Systems/Distributed Computing field.Core Technical Competencies (Critical), • Hands-on Agentic Frameworks: Proven experience building and deploying multi-agent applications to live production environments using frameworks like LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, ADK, or custom orchestration systems., • Production Scaling & Compute: Direct exposure handling scale on either the orchestration side (managing complex state, cyclical routing, and memory loops) or the infrastructure side (scaling AI compute fabrics, asynchronous jobs, queues, and container clusters)., • Model-Serving Platforms: Practical production experience deploying and optimizing models via frameworks such as vLLM, SGLang, Ray, NVIDIA Triton, or NVIDIA Dynamo., • Full-Stack Implementation: Strong Python background combined with full-stack capabilities, including constructing front-end visual telemetry dashboards (using Grafana, Tableau, Streamlit, or similar)., • Open Source Focus: Experience utilizing, developing upon, or contributing directly to open-source software repositories.Mindset & Soft Skills, • Enterprise Product Instincts: The ability to look at powerful backend capabilities and figure out how to make them readable, structured, and satisfying for enterprise end-users., • Thriving in Ambiguity: An early-stage startup mentality—comfortable shipping fast, iterative code within dynamic, shifting, and initially ill-defined parameters., • Clear Communication: Strong written skills to help transform complex technical primitives into clear developer documentation and clean product language., • A background as a Solutions Architect or Forward Deployed Engineer is a significant plus. Why You Should Join Us • Solve an Unsolved Problem: Nobody has cracked the gap between building a toy agent app and scaling it across a global enterprise. You will build technology that fundamentally does not exist anywhere else., • Unmatched Pedigree: Learn from and build with a world-class founding team combining serial entrepreneurship with elite academic systems research., • Founding-Level Impact: As Employee #4, your code dictates the core blueprint of the platform. You get a direct up-to-1% equity block in a venture backed by a highly technical $5M validation check.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: We are seeking a Staff Software Infrastructure Engineer to play a critical role in managing Crusoe’s fleet operations, focusing on foundational tools for provisioning and reprovisioning servers with a strong emphasis on Infrastructure as code. The role includes building automation tools, troubleshooting hardware, and scaling operations to support high growth. The candidate will be integral in transitioning to Kubernetes and optimizing Crusoe's infrastructure. This position offers the opportunity to work on cutting-edge technologies within a world-class team and contribute directly to the success of a rapidly growing company while making a significant impact on the global energy landscape. What You'll Be Doing: Manage and maintain day-to-day operations of Crusoe’s cloud infrastructure. Develop automation tools to streamline server provisioning and reduce SLA times. Scale infrastructure to support mass deployments (80-100 servers simultaneously). Troubleshoot hardware issues, especially with GPUs, and liaise with vendors. Transition Crusoe’s environment to Kubernetes and containerized workflows. What You’ll Bring to the Team: Solid hardware experience and GPU troubleshooting expertise. Strong Linux background Knowledge of PXE booting and server provisioning (bare metal) Experience with BMC/IPMI, BIOS, and enterprise-grade server management. Kubernetes proficiency (admin or developer). Familiarity with containerization technologies (Docker preferred). Experience with version control systems ( Gitlab ) Problem solving skills - able to analyze complex technical issues and develop effective solutions Strong communication and collaboration skills to work effectively with cross-functional teams Values: Embody the Company values Experience with MAAS (nice to have) Proficiency in Python or Golang (preferred language) (nice to have) Kubernetes administration and deployment experience (nice to have) Experience with Ansible and Terraform (nice to have) Benefits: Industry competitive pay Restricted Stock Units in a fast growing, well-funded technology company Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents Employer contributions to HSA accounts Paid Parental Leave Paid life insurance, short-term and long-term disability Teladoc 401(k) with a 100% match up to 4% of salary Generous paid time off and holiday schedule Cell phone reimbursement Tuition reimbursement Subscription to the Calm app MetLife Legal Company paid commuter benefit; $300 per month Compensation: Compensation will be paid in the range of $208,000 - $253,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionApplied AI Engineer, Silicon Engineering About Etched Etched is building AI chips that are hard-coded for individual model architectures. Our first product (Sohu) only supports transformers, but has an order of magnitude more throughput and lower latency than a B200. With Etched ASICs, you can build products that would be impossible with GPUs, like real-time video generation models and extremely deep & parallel chain-of-thought reasoning agents. Job Summary We are using AI to build AI chips. AI agents are starting to genuinely work for verification, debug, and EDA flows — we want someone to bring that inside Etched and push past it. As an Applied AI Engineer, you will embed with our hardware teams — RTL design, verification, DFT, physical design, and silicon validation — and build the agents and tooling that multiply their output. You'll wire LLM agents into simulators, regressions, waveform and log analysis, EDA flows, and bring-up workflows, and own the evals that separate demos from tools engineers actually rely on. This is an internal, force-multiplier role: your success is measured by how much faster the chip team moves, not by lines of code you ship yourself. It is not a customer-facing role and not about inference serving — it's AI applied to how we build the chip itself. You do not need to be a chip designer or a traditional software engineer — you need to be an exceptional problem solver who has shipped real agentic systems, works comfortably across stacks and domains, and uses AI to ramp on hard new problems fast. Key responsibilities Build, deploy, and maintain LLM-agent workflows that accelerate chip development: debug triage, testbench and coverage work, log/waveform analysis, EDA script generation, and engineering knowledge retrieval Embed with hardware teams to find the highest-leverage pain points, then turn them into automated workflows with measurable adoption Design rigorous evals for agent performance on real silicon-engineering tasks — not proxy metrics — and use them to drive iteration Integrate agents with our internal infrastructure: simulation and emulation flows, CI/regression systems, lab equipment, and issue tracking, via tool-calling and MCP Champion adoption: documentation, training, and fast feedback loops with the engineers who use what you build You may be a good fit if you have A track record of solving hard problems across stacks and domains — you enjoy being dropped into unfamiliar territory and figuring it out Comfort with Python and code: you can read it, modify it, debug it, and direct AI to write it well. We do not care whether you write code from scratch — we care whether you ship things that work Fluency using AI to learn and ramp on new problems — agentic coding tools, deep research, and frontier models are how you work, not an add-on Hands-on experience building and shipping LLM-based agents or AI tooling that real users depend on (beyond calling an API — context engineering, tool integration, orchestration, failure analysis) An eval-driven mindset: you measure whether AI systems actually work before scaling them High agency and comfort with ambiguity — you can find the problem, not just solve the stated one Interest in chip development and the ability to ramp quickly on a deeply technical domain. Hardware experience is a real plus, but not required — you will be willing and able to learn quickly Strong candidates may also have experience with Chip development in any form (the strongest plus): RTL/SystemVerilog, functional verification (UVM), DFT, physical design/STA, FPGA, emulation, or silicon bring-up and validation EDA tool flows and Tcl scripting; reading waveforms, logs, and regressions Fine-tuning or post-training (SFT, RLHF/DPO), RAG over proprietary technical data, or multi-agent orchestration Deep software engineering: C++ or Rust, developer-facing internal platforms, CI/CD at scale, or infrastructure (Docker, Slurm, Ray) Representative projects In your first 30 days, pick one hardware team's worst recurring pain, ship an agent for it, and prove adoption with usage data Build an agent that triages overnight regression failures, clusters them by root cause, and drafts bug reports with waveform and log evidence attached Wire Claude Code-style agents into our EDA and validation flows via MCP so engineers can drive simulations, queries, and lab equipment from natural language Create a retrieval system over our specs, design docs, and past debug history that cuts ramp time for new engineers Design an eval suite that measures agent performance on real verification and debug tasks, and use it to decide which workflows to automate next Prototype AlphaEvolve-style optimization loops that propose and automatically verify improvements to test programs or flow scripts Benefits Full medical, dental, and vision packages, with generous premium coverage Housing subsidy of $2,000/month for those living within walking distance of the office Daily lunch and dinner in our office Relocation support for those moving to San Jose (Santana Row) Unlimited compute budget subject to ROI justification How we're different Etched believes in the Bitter Lesson. We think most of the progress in the AI field has come from using more FLOPs to train and run models, and the best way to get more FLOPs is to build model-specific hardware. Larger and larger training runs encourage companies to consolidate around fewer model architectures, which creates a market for single-model ASICs. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed. Compensation Range: $150K - $275K

Job DescriptionOmni Design Technologies is a leading provider of high-performance, ultra-low power IP cores, from 28nm down through advanced FinFET nodes, enabling differentiated system-on-chip (SoC) solutions. Our technology fuels innovation in critical applications ranging from 5G, wireline and optical communications, LiDAR, radar, automotive networking, AI, and image sensors. With a proven track record of exceeding 50% year-over-year growth, we are at an inflection point, poised to significantly expand our market share and solidify our position as a technology leader. Omni Design is looking for a Salesforce Administrator & Developer to help design, build, and scale solutions on the Salesforce platform. This role blends hands‑on administration with custom development to support business workflows, integrations, and user experience enhancements across Salesforce. You’ll work closely with sales, product, and technical teams to deliver reliable, secure, and scalable Salesforce solutions using modern Salesforce technologies and best practices.Key Responsibilities Salesforce Development • Design, develop, test, and deploy high‑quality solutions on the Salesforce (SFDC) platform, • Build custom functionality using Apex, Lightning Web Components (LWC), Visualforce, and batch processes, • Apply JavaScript design patterns and use JavaScript, HTML, and CSS to create responsive user experiences, • Perform unit testing, troubleshooting, performance optimization, and code documentation, • Prototype and evaluate new Salesforce capabilities and features Salesforce Administration • Manage users, roles, profiles, permission sets, and security controls, • Configure objects, fields, page layouts, validation rules, flows, and approvals, • Create and maintain reports, dashboards, and data visibility models, • Perform data migration and maintenance using Salesforce Data Loader Operations & Support • Deliver enhancements, break/fix support, and production issue resolution, • Maintain Salesforce data integrity, availability, and security, • Support Service Cloud and/or Experience (Customer) Cloud implementations, • Collaborate on integrations and API‑based solutions, • Document technical designs, best practices, and operational proceduresExperience & QualificationsCore Skills & Competencies, • Bachelor’s degree in Computer Science or a related field, • 4+ years of software development experience, • 3+ years of hands‑on Salesforce experience (Service Cloud and/or Experience Cloud), • Strong experience with Salesforce Lightning and LWC, • Proficiency in Apex, SOQL, SOSL, Visualforce, and Salesforce APIs, • Experience with HTML, CSS, JavaScript, AJAX, and related web technologies, • Familiarity with Experience Cloud, LWR framework, and Salesforce integrations, • Knowledge of DevOps and CI/CD practices for Salesforce, • Salesforce certifications preferred:, • Salesforce Administrator, • Platform Developer I / II, • App Builder, • Salesforce AI Associate / Specialist, • Strong communication skills and ability to explain technical solutions to business users, • Excellent problem‑solving and attention to detail, • Experience documenting technical designs and system configurations, • Ability to manage multiple priorities and work independently, • Collaborative mindset with a focus on continuous improvementWe are looking for trailblazers ... We strongly believe that the pace of the ongoing hardware revolution will be greatly accelerated by Omni Design’s IP cores and Automation. In the rapidly emerging semiconductor embedded design business ecosystem. At Omni Design, we have created an exciting environment with amazing talent across multiple disciplines. We like self-motivated individuals, we encourage initiative, we look for leadership qualities, we value teamwork, we like diversity, and we reward excellence. We are looking for trailblazers to bring Omni Design’s vision to fruition. If you are interested in making an impact as part of a young, fast-growing, cutting-edge technology company, please reach out to us. Omni Design is an equal opportunity employer. We offer excellent compensation. We seek individuals that share our high standards and commitment to excellence. Omni Design Technology is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status or other legally protected characteristics. If you require assistance or an accommodation due to a disability in order to apply for a position, please contact us at careers@omni-design.com. Omni Design Technology participates in E-Verify. For positions located in the United States, employment is contingent upon verification of identity and eligibility to work in the United States. Background checks may be required as part of the hiring process. 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 DescriptionReady to make connectivity from space universally accessible, secure, and actionable? Then you’ve come to the right place! At E-Space, we’re focused on bridging Earth and space with the world’s most sustainable low Earth orbit (LEO) satellite network. We’re a team of bold thinkers, ambitious leaders and dynamic doers—and we’re disrupting NewSpace by fundamentally changing the design of legacy LEO space systems to deliver entirely new satellite capabilities at a fraction of the cost. We’re intentional, we’re unapologetically curious and we’re 100% committed—to saving space, to protecting our planet and to turning connectivity into actionable intelligence We are seeking a highly skilled and motivated FSW/Embedded Software Developer to design, develop, and optimize software for customized embedded devices, with a strong emphasis on space-related software and algorithms. The role involves designing and developing software for bare-metal, RTOS, and real-time Linux environments, real-time performance, system reliability, and implementing robust recovery mechanisms. You will also contribute to testing and automation. What you will be doing: Core Development Embedded Software Development: Architect/Design, write, debug, and maintain efficient software for real-time embedded systems, including mission critical Flight Software and communication with other space-specific software subsystems/modules, such as TTC (CCSDS protocol), Power, Thermal, GNC, FDIR, CFDP. Communication Protocols and Specifications: Implement protocols used in space-grade software such as UART, CAN, SpaceWire, SPI, I2C, and Ethernet. Experience with Linux bridging, DSA (Distributed Switch Architecture), and L2 protocols such as RSTP/MSTP, HSR, or FRER for redundant network fabrics is highly valued Networking and Avionics Fabrics: Design and implement L2 Ethernet networks for inter-board communication on spacecraft, including switch bring up, PHY configuration, and topology design. Configure and debug L2 redundancy protocols (RSTP, HSR, FRER) for fault-tolerant fabrics. Implement deterministic networking using TSN features where mission profiles require bounded latency. Application Integration: Integrate and manage provided applications on top of the customized platform software. Design and bring up Ethernet-based avionics networks, including PHY/MAC initialization, switch configuration, and L2 redundancy protocols. Operational Management: Design and implement efficient memory management, process management, software updates, reprogramming and power saving modes for embedded systems. Experience with multi-board Ethernet fabrics (mesh, ring, or tree topologies) for inter-subsystem communication is a plus. Testing and Support Test Framework Development: Create and maintain automated testing frameworks for embedded systems, including HIL, SIL, PIL. Support: Provide support for debugging of real-time and critical faults. Debugging and Validation: Use tools like oscilloscopes, logic analyzers, and protocol analyzers to test and debug embedded software and hardware interfaces. Collaboration and Documentation Hardware Interaction: Work closely with global software teams to contribute to the new designs and ensure seamless software-hardware integration. Documentation: Prepare and maintain technical documentation. What you bring to this role: • Hands-on: Proven record of designing and developing significant working software in aerospace applications., • Programming Languages: Proficiency in C/C++ and scripting languages like Shell or Bash; familiarity with Python., • Embedded Systems: Experience with embedded and multicore platforms and their toolchains. Experience with Yocto is a big plus., • Communication Protocols: Knowledge of key hardware and software protocols such as UART, CAN, SPI, I2C. TCP and UDP., • Upgrades: Experience with secure firmware updates and reprogramming mechanisms., • Debugging Tools: Proficiency with debugging tools like JTAG, GDB, and serial debuggers., • Version Control: Expertise with Git or similar version control systems. Bonus points: • Education: Bachelor’s or Master’s degree in Computer Science, Electronics Engineering, or a related field., • Familiarity with wireless communication technologies (e.g., Wi-Fi, Bluetooth, Zigbee, LoRa)., • Familiarity with hardware simulation tools and flatsat environments for testing., • Familiarity with CI/CD pipelines and automated build/test workflows. Key Attributes • Strong analytical and debugging skills., • Passion for quality and attention to detail in software development and testing., • Ability to work collaboratively in cross-functional and global teams., • Commitment to staying updated with the latest in IoT, embedded systems, and testing automation technologies., • A willingness to undertake further relevant training., • An understanding and commitment to equal opportunities., • Time management, self-reliance and willingness to learn. 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 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: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new., • Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always., • Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: We are seeking a highly skilled Manager, Software Engineering to lead our Tools & Frameworks team. This role is a unique opportunity to manage and scale teams working on infrastructure for core services while driving architectural excellence and ensuring operational efficiency. As an Engineering Manager, you will define and execute a roadmap aligned with company-wide goals, lead a team of talented engineers, and make impactful decisions that shape the future of our platform. The Tools and Frameworks team serves as a critical force multiplier for the rest of the SmithRx engineering organization. Composed primarily of backend-focused engineers, this team owns the shared libraries, core backend data, and internal tooling that provide the foundation for our product ecosystem. As the manager of this team, you will champion developer productivity and systems architecture, ensuring your team designs resilient, scalable APIs and schemas intended for use across multiple business domains. You will play a vital role in balancing technical priorities with business needs, supporting our mission to lower healthcare costs through highly efficient internal infrastructure. What you will do: In this role, you will provide: Team Leadership • Manage, mentor, and inspire a team of engineers (up to Staff level) to deliver high-quality software solutions., • Build a collaborative and high-performing team culture focused on accountability, innovation, and excellence., • Conduct regular performance evaluations, provide actionable feedback, and foster career growth opportunities for team members. Strategic and Tactical Execution • Define the team's vision and roadmap, aligning with organizational goals and priorities., • Partner with product managers and stakeholders to clarify business requirements and translate them into actionable engineering projects. Ensure the execution of major upcoming initiatives, including:, • Building and maintaining a FHIR (Fast Healthcare Interoperability Resources) translation layer., • Decomposing our mono-repository, advancing data federation, and establishing domain event-streaming where necessary., • Balance short-term deliverables with long-term scalability to ensure sustainable growth. Architectural and Operational Excellence • Work with Principal Engineers to develop scalable and reliable software solutions., • Proactively identify and mitigate technical risks, addressing software architecture deficiencies and long-term risks., • Establish and maintain best practices for development, testing, and operational workflows. Cross-Functional Collaboration • Partner with product managers, stakeholders, and other engineering leaders to ensure alignment across teams and domains., • Influence overlapping business/technology areas to reduce inefficiencies and improve delivery speed., • Act as the primary representative of your teams to senior leadership, customers, and stakeholders. What you will bring to SmithRx: • 7+ years of experience in software development, with at least 3+ years managing teams, • Deep understanding of software architecture, APIs, and scalable systems. Proven ability to make trade-offs between short-term and long-term technical needs., • Demonstrated ability to build, lead, and retain high-performing teams in a fast-paced environment., • Ability to define a team's mission and roadmap, aligning it with company-wide OKRs., • Exceptional written and verbal communication skills, including the ability to write strategic documentation (e.g., narratives, proposals)., • A track record of delivering results in ambiguous, high-pressure situations., • Experience in managing teams working on backend systems. Preferred Qualifications • Possess a background in either leading engineering teams dedicated to core services and frameworks or having served as an individual contributor within such teams., • Familiarity with domain-driven design and cross-functional software development., • Proven ability to work with US timezone distributed teams and stakeholders. 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, • 12 Paid 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 DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company's data platform. We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale — delivering with production-grade discipline across mission-critical services. Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on. About the role: As a Staff Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform. You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards. Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture — while playing a central role in building, testing, and managing scalable systems that are production-ready from day one. Who You Are: • You bring 10+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems — with a strong foundation in software design, development, and algorithmic problem-solving., • Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink., • Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments., • CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions., • Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems., • Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs., • Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems — with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs., • Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry., • Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning., • Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments., • Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning.Preferred:, • Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX., • Internal Developer Platforms: Background in designing and building internal developer platforms or self-service infrastructure tooling that empowers engineering teams to move faster and operate independently.Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love building highly reliable systems that operate at scale, • You're curious about how to continuously improve system resilience, security, and operations, • You're an expert in diagnosing and solving complex distributed systems problemsWhy CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $207,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionSaviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. We are seeking a Associate Principal SDET to lead the architecture and evolution of our automation and quality engineering strategy for Saviynt’s cloud-native Identity Security platform. In this role, you will partner with Engineering, Product, and SRE teams to design scalable test frameworks, drive automation-first development, and ensure the reliability, security, and performance of our platform. You will also champion the adoption of AI-powered development and testing tools to accelerate engineering productivity and improve software quality. WHAT YOU WILL BE DOING:Test Architecture & Automation Architect and evolve enterprise-scale automation frameworks across APIs, web UI, and backend services. Define and execute automation strategies supporting Saviynt’s identity platform (IGA, PAM, AAG, ISPM, NHI, RBAC, secrets management). Establish an automation roadmap aligned with product scalability, reliability, and security goals. AI-Driven Test Innovation Lead adoption of AI-powered developer tools (Amazon Q Developer, Cursor, test intelligence platforms). Develop intelligent automation capabilities to improve test generation, maintenance, and diagnostics. Quality Engineering Strategy Drive testing across functional, regression, performance, security, and resiliency scenarios. Implement shift-left testing by integrating automation and quality gates into CI/CD pipelines and infrastructure-as-code workflows. Continuously improve test stability, observability, and feedback loops. Platform & Pipeline Quality Partner with Engineering and SRE to identify coverage gaps, reliability risks, and release quality metrics. Optimize CI/CD pipelines and automated testing workflows to enable rapid, safe releases. Technical Leadership Conduct technical reviews of automation frameworks, test architecture, and engineering processes. Mentor and guide global QE teams to increase automation maturity and engineering excellence. • Champion an automation-first culture across the organization. WHAT YOU WILL BE DOING: 1+ years of experience in as a Principal SDET including 1+ years in an architect or technical leadership role. Hands-on experience with AI-assisted development tools such as Claude, Amazon Q Developer or Cursor. Strong experience designing scalable test automation frameworks using tools such as Playwright, PyTest, Robot Framework, or Karate. Strong programming skills in Java and Python (Groovy a plus). Experience testing REST APIs, microservices, and distributed cloud systems (AWS, GCP, Azure). Deep knowledge of CI/CD systems (Jenkins, GitLab CI) and build tools (Maven, Gradle). Experience with database validation, test data management, and large-scale automation. Knowledge of performance testing (JMeter, Gatling). Familiarity with security and accessibility testing (SAST, DAST, WCAG, axe-core). Excellent communication and leadership skills with the ability to influence cross-functional teams We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including, but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $160,000 - $180,000 annually. You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. If required for this role, you will:- Complete security & privacy literacy and awareness training during onboarding and annually thereafter- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to): Data Classification, Retention & Handling Policy> Incident Response Policy/Procedures> Business Continuity/Disaster Recovery Policy/Procedures> Mobile Device Policy> Account Management Policy> Access Control Policy> Personnel Security Policy> Privacy Policy Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Saviynt is an equal opportunity employer and we welcome everyone to our team. 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. 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 we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible. Our culture is one of respect and collaboration. We value humility and believe in direct communication. Our team is inclusive, and our differing perspectives allow for better solutions. We are seeking individuals passionate about tackling challenges and are driven by execution. Ready to come find your playground? Together, we can help shape the endless possibilities of AI. designs and manufactures purpose-built AI inference silicon. Our SRE team owns the infrastructure layer that every engineering team — and our customers — depends on. That means colocation facilities, on-premises GPU clusters, cloud environments, and the platform services customers use when deploying and validating hardware and software. This is a hands-on, high-ownership role. You will build, operate, and automate real infrastructure — not manage tickets. The systems you keep running directly enable silicon development, AI/ML research, and customer success. responsible for the reliability, automation, and observability of the infrastructure that the company runs on. You will work across colocation, on-premises lab environments, and cloud platforms—and you will own your systems end-to-end, from initial provisioning through live incident response. You will work closely with the senior DevOps lead team, whose CI/CD pipelines and automation layer depend on the infrastructure you operate. What You Will Do Infrastructure Operations Own reliability and availability of assigned infrastructure domains: colo server fleets, on-premises lab clusters, cloud environments (AWS, Azure, GCP), and customer-facing platform services. Perform hands-on infrastructure work: server provisioning, OS configuration, network setup, storage management, and hardware troubleshooting from bare metal up. Support and operate high-speed interconnect environments — InfiniBand, RoCE, or high-speed Ethernet — in lab and colo settings. Conduct capacity planning and hardware lifecycle management for assigned infrastructure domains. Automation & Infrastructure as Code Own IaC and configuration management (Terraform, Ansible) for your infrastructure domains — all provisioning and changes through code, not manual steps. Build automation to eliminate toil: host lifecycle management, fleet health checks, auto-remediation workflows, and self-service tooling for engineering teams. Develop networking automations for cluster interconnects, VLAN management, and lab network configurations. Contribute to shared IaC modules and automation libraries used across the SRE team. Observability & Incident Response Design and maintain monitoring dashboards, alerting, and SLIs (Prometheus/Grafana, DataDog) for your infrastructure domains—ensuring signal quality and actionable alerts. Participate in on-call rotation; triage and resolve incidents from bare metal to application layer, distinguishing infrastructure faults from software or hardware product issues. Produce high-quality RCA reports for P0/P1 incidents with root cause analysis and tracked action items. Detect performance issues, recommend solutions, and implement fixes that permanently improve system reliability. Customer & Platform Services Support and operate platform services used by external customers for hardware and software deployment collaboration Ensure QoS and uptime commitments for customer-facing environments; escalate reliability risks proactively. Document platform configurations, access procedures, and operational runbooks for customer environments. Documentation & Collaboration Maintain high-quality runbooks, architecture diagrams, and troubleshooting guides—documentation is part of the job, not an afterthought. Partner with the DevOps team to ensure infrastructure reliability supports CI/CD pipeline performance and developer experience. Serve as a technical resource for engineering teams—sharing operational knowledge and raising infrastructure risks early. Required Bachelor's or Master's in Computer Science, Electrical Engineering, or a related field (or equivalent experience); 5+ years in SRE, infrastructure engineering, or systems administration. Strong Linux systems knowledge: networking, storage, systemd, package management, kernel parameters, and performance diagnostics. Hands-on experience with colocation or on-premises server infrastructure — physical hardware, rack networking, and bare-metal provisioning. IaC experience with Terraform and/or Ansible — writing and maintaining production configurations, not just running existing playbooks. Kubernetes operational experience: cluster troubleshooting, workload management, storage, and networking. Prometheus + Grafana or DataDog: building dashboards, writing alert rules, and understanding signal quality. Python and/or Bash scripting: production-quality automation, not just one-off scripts. Incident response experience: structured triage, RCA production, and follow-through on action items. Comfort operating in fast-moving startups: you own your systems, document what you build, and iterate without waiting for perfect requirements. Strongly Preferred Experience operating customer-facing infrastructure or platform services with external reliability expectations. Cloud infrastructure operations across AWS, Azure, or GCP—including hybrid environments spanning cloud and on-prem. HPC job scheduler experience: Slurm, LSF, or equivalent — operations and troubleshooting. Knowledge of high-speed interconnect fabrics: InfiniBand, RoCE, or NVLink — configuration and troubleshooting. Go programming for SRE tooling — health-check services, exporters, or auto-remediation agents. Experience with large-scale infrastructure automation: host lifecycle management, fleet auto-healing, or AIOps-driven operations. California Pay Range$155,000—$235,000 USD

Job DescriptionOver 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them. Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team. Are you energized by the idea of shaping the future of generative AI and agentic systems? Do you want to help define how intelligent agents discover capabilities, use tools, collaborate across systems, and deliver meaningful outcomes for customers? Do you aspire to create global impact while tackling challenges at the intersection of AI, distributed systems, cloud platforms, security, and large-scale product engineering? Then come, advance with us. This is an incredible opportunity to work at the forefront of AI-driven networking, agentic automation, cloud-native platforms, and intelligent product experiences. You will help lead the development of a next-generation platform that enables an ecosystem of AI agents, tools, skills, and integrations designed to support highly scalable, secure, reliable, and adaptable enterprise use cases. There has never been a better time to join Extreme. Following several acquisitions that have expanded our portfolio and go-to-market strategy, we continue to see significant opportunity and growth across regions. As a Technology Leader in the Gartner Magic Quadrant, Extreme is also deeply committed to fostering a culture that embraces diversity, inclusion, and equality in the workplace. Our motto is “Advance with us,” and it applies to everyone we work with — inside and outside the company. We are driving a fundamental shift in how businesses manage wired and wireless networks by building high-performance, real-time systems that can perceive, reason, retrieve context, use tools, and take intelligent action on behalf of users. You will lead engineering teams working on strategic AI platform capabilities, including agent orchestration, tool and skill ecosystems, secure integration frameworks, scalable microservices, and enterprise-grade runtime infrastructure. You will partner closely with product, architecture, security, cloud operations, and other engineering leaders to define the technical direction and deliver high-impact systems that are reliable, extensible, and built for long-term scale. Job Responsibilities • Provide visionary technical and organisational leadership for teams building next-generation AI agent platforms, tool ecosystems, and cloud-native services, including agent orchestration, tool invocation, skill discovery, workflow execution, context management, and governance., • Define and drive the engineering roadmap for highly scalable, secure, reliable, and extensible systems that enable AI agents, tools, skills, integrations, and enterprise workflows across Extreme’s product portfolio., • Build, mentor, and lead high-performing teams, including hiring, performance management, developing leaders, and fostering a culture of strong engineering standards, accountability, and innovation., • Drive execution across multiple programs and teams, ensuring clear priorities, predictable delivery, effective risk management, and alignment with product, architecture, security, CloudOps, and senior leadership., • Guide complex architectural and technical decisions, including trade-offs related to distributed systems, multi-agent workflows, latency, reliability, cost efficiency, tenant isolation, data privacy, and platform extensibility., • Champion production readiness and operational excellence, including secure-by-design development, API consistency, observability, SLOs, capacity planning, resiliency, automation, and measurable quality outcomes., • Stay current with emerging AI and platform trends, including agent frameworks, MCPbased tooling, skill ecosystems, RAG patterns, LLM integration, evaluation, guardrails, and enterprise AI governance. Basic Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, Mathematics, or a related technical discipline, or equivalent practical experience., • 15+ years of software engineering experience, including 10+ years of engineering leadership experience and 5+ years managing managers or multiple engineering teams., • Proven track record of designing, delivering, and operating complex, high-impact AI, ML, generative AI, automation, or intelligent software platforms., • Strong practical understanding of generative AI and agentic architectures, including LLM integration, Model Context Protocol, RAG, agents, tools, skills, orchestration, context/memory, evaluation, guardrails, observability, and policy controls., • Experience leading teams that build scalable, secure, and reliable cloud-native AI or dataintensive services, with strong depth in distributed systems, microservices, APIs, and production operations., • Experience managing multiple concurrent programs and engineering teams in an Agile or iterative product development environment., • Strong communication skills with the ability to engage effectively with executives, product leaders, architects, senior engineers, security teams, and cross-functional stakeholders. Preferred Qualifications • MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or equivalent experience., • Experience with agentic AI platforms, AI agent frameworks, tool-use systems, MCP-style integrations, plugin ecosystems, workflow automation, developer platforms, or skill marketplaces., • Experience building or leading extensible platforms where multiple teams, services, or partners contribute capabilities through APIs, SDKs, plugins, tools, integrations, or developer-facing interfaces., • Experience designing secure, governed platforms that support permissions, tenant isolation, auditability, rate limiting, policy controls, observability, and safe tool execution., • Experience with cloud platforms and modern infrastructure technologies such as AWS, Azure, GCP, Kubernetes, Docker, Kafka, SQL/NoSQL databases, search systems, vector databases, graph databases, or event streaming platforms., • Experience partnering with Product Management and Program Management to define strategy, clarify requirements, manage trade-offs, and deliver customer-facing platform capabilities. Come work with a team of highly talented engineers and scientists and help define the next generation of AI-driven networking experiences. Advance with us to achieve new heights every day. Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook. We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks. 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 DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the RoleAs the founding member of our Developer Experience (DevX) team, you will be instrumental in shaping how engineers interact with our compiler infrastructure. You'll build the tools that give developers deep visibility into system performance—from profiling and debugging capabilities to hardware introspection interfaces. Your work will bridge the gap between our core compiler technology and the engineers who use it, transforming complex system data into actionable insights. This role sits at the intersection of systems programming and developer tooling. You'll work closely with our compiler engineers to surface server-side telemetry through intuitive client-side interfaces, ultimately creating a best-in-class development experience for our users. What You'll Do • Design and build developer tools for profiling, debugging, and performance introspection across our compiler stack., • Create client-side tooling that transforms server-side compiler telemetry into clear, actionable information for engineers., • Develop interfaces that expose hardware performance metrics, and interrupt data in meaningful ways., • Build GPU debugging capabilities and visualization tools to help engineers understand execution on heterogeneous hardware., • Define formats and protocols for debug information exchange, working with standard debugger formats (DWARF, JTAG) and object file formats (ELF, COFF)., • Collaborate with internal engineering teams to understand their needs and iterate on tooling, with a path toward external customer-facing tools. Essential Skills and Experience: • 3+ years of professional experience in systems-level software development., • Strong proficiency in C++ with experience writing performance-critical code., • Working knowledge of assembly language and low-level debugging techniques., • Familiarity with debugger formats (DWARF, JTAG) and object file formats (ELF, COFF)., • Understanding of profiling methodologies and performance analysis tools., • Ability to work on-site at our Toronto or Santa Clara office. Preferred Skills and Experience: • Experience with GPU programming and debugging (CUDA, ROCm, or similar)., • Experience with OS-level interfaces including I/O subsystems and interrupt handling., • Background in compiler development or toolchain infrastructure., • Experience building developer-facing tools or IDEs., • Contributions to open-source debugging or profiling tools.Why Join Lemurian Labs, • Work at the intersection of compilers, hardware, and developer experience — a genuinely rare combination., • Build tools that developers will rely on every day, with real ownership from day one., • Competitive compensation including equity, medical/dental/vision, retirement savings, and wellness benefits. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job Description We are looking for a senior ML infrastructure engineer to build and evolve the systems that support model training, deployment, and production usage. This role sits at the intersection of software engineering, infrastructure, ML workflows, and developer experience. The work focuses on production-quality ML systems: reliability, scalability, observability, and usability for the team. You will work on training infrastructure, deployment workflows, model serving, platform tooling, automation, and production reliability. Training deployment is a core focus, and experience with inference deployment is a strong plus. We care about engineering judgment, technical depth, communication, and the ability to turn messy ML workflows into stable platform capabilities. What You Will Own Design, build, and evolve infrastructure for ML training workflows, training deployment, experiment execution, and production handoff. Build and maintain deployment paths for models, jobs, services, and supporting infrastructure across development and production environments. Improve reliability, scalability, observability, and developer experience for ML workflows and platform tools. Define interfaces, automation, metadata, artifacts, configuration, environment management, and lifecycle boundaries for ML systems. Collaborate with research, product, data, and engineering partners to translate incomplete ML workflow needs into maintainable systems. Support production usage by building clear operational tooling, debugging paths, and safe rollout mechanisms. What We Look For Strong software engineering and infrastructure fundamentals, with experience owning production or near-production systems. Practical experience with PyTorch and ML training workflows, including job orchestration, compute environments, artifact management, and deployment automation. Solid understanding of heterogeneous computing and high-performance computing, especially for ML training or serving workloads. Good understanding of model lifecycle concerns: data, configs, checkpoints, artifacts, reproducibility, rollout, rollback, and observability. Ability to build reliable platform abstractions without hiding the important details ML practitioners need to control. Clear technical and product sense: you can prioritize platform work that unlocks real training or deployment velocity. High standards for engineering quality, including tests, documentation, debugging tools, and maintainable system design. Tech Stack You May Work With Python PyTorch Heterogeneous computing and high-performance computing ML training pipelines, job orchestration, compute scheduling, containers, and deployment automation Model artifacts, metadata, storage, experiment tracking, and configuration systems Model serving, inference deployment, APIs, queues, and observability tools Docker, CI/CD, cloud infrastructure, GPUs, and internal platform tooling Bonus Points Experience building training deployment systems, model release workflows, or ML platform tooling for research and production teams. Experience with inference deployment, model serving, online/offline evaluation, performance tuning, or rollout safety. Experience with distributed training, GPU infrastructure, workload scheduling, artifact/version management, or reproducibility tooling. Understanding of CUDA, GPU architecture, or low-level performance optimization. Experience with open-source inference and serving frameworks such as vLLM, TensorRT, Triton, or similar systems. Experience migrating ad hoc notebooks, scripts, or manual ML processes into reliable platform workflows. This Role May Not Be a Fit If You mainly want to train models personally and do not enjoy building infrastructure for others to use. You are comfortable with manual ML workflows and do not care about reproducibility, deployment, or operational quality. You prefer narrow implementation tasks and do not want to reason about system boundaries, platform UX, or long-term maintenance. You over-abstract ML workflows without understanding where researchers and engineers need control and visibility. Why This Role Matters ML teams move faster when training, deployment, and production usage are supported by reliable infrastructure instead of scattered scripts and manual processes. This role will directly shape how models move from experimentation to production, how safely they are deployed, and how efficiently the team can iterate. For the right person, it is a high-ownership platform role with deep impact on both engineering quality and ML velocity. What We Would Like to See When You Apply ML infrastructure, training platforms, deployment systems, or model serving systems you have owned. Examples of how you improved training reliability, deployment velocity, reproducibility, observability, or operational safety. Cases where you turned messy ML workflows into maintainable tools, services, or platform abstractions. Examples that show your technical judgment, communication, and ability to work across research and engineering needs.

Job DescriptionCompany Description Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/ Job Description Mirantis is looking for a Product Marketing Manager who is equal parts storyteller, strategist, and practitioner, someone who has spent enough time in the Kubernetes and cloud-native trenches to earn credibility with engineers, but who also knows how to translate that depth into pipeline-driving content and crisp sales enablement. This is the core platform marketing role on our team. You'll own the go-to-market narrative and content engine for Mirantis' enterprise platform portfolio: k0rdent AI Enterprise Edition, Mirantis Kubernetes Engine (MKE), Mirantis OpenStack for Kubernetes (MOSK), Mirantis Container Runtime (MCR), Mirantis Secure Registry (MSR), and related solutions. These products serve some of the world's most demanding infrastructure teams, including roughly a third of the Fortune 100, and your job is to make sure buyers understand why Mirantis is the right partner for their most critical workloads. You'll work closely with product management, solution architects, sales, and demand generation to build the content, messaging, and field tools that accelerate deals and deepen customer relationships. This is a high-ownership, high-visibility individual contributor role with real impact on revenue. What You'll Own Positioning & Messaging Develop and maintain audience-specific messaging frameworks for MKE, MOSK, MCR, MSR, and k0rdent AI Enterprise Edition, from practitioner-level technical narratives to C-suite value propositions. Articulate how Mirantis' open, vendor-neutral philosophy differentiates us from Red Hat OpenShift, VMware Tanzu, Rancher/SUSE, and cloud-native offerings from the hyperscalers. Map messaging to buyer personas: platform engineers, infrastructure architects, DevOps leads, and IT decision-makers. Sales Enablement Build and maintain the field-ready asset library: pitch decks, deep dive decks, battlecards, objection-handling guides, competitive one-pagers, ROI frameworks, and conversation guides. Run regular sales enablement sessions to train the field on new messaging, competitive developments, and product launches. Partner directly with pre-sales and solution architects to capture field learnings and sharpen positioning. Content Creation Own a steady, high-quality content cadence: solution briefs, white papers, technical blog posts, case studies, reference architectures, demo scripts, and competitive comparisons. Produce content that works across the funnel and that practitioners actually want to read. Translate complex Kubernetes, container runtime, and virtualization capabilities into clear narratives without dumbing them down. Competitive Intelligence Track competitors across the enterprise container, virtualization, and cloud-native platform space: Red Hat, VMware/Broadcom, Rancher/SUSE, Canonical, and others. Produce timely battlecards, win/loss analyses, and competitive updates that keep the sales team confident in tough conversations. Product Launches & Campaigns Own go-to-market planning for product releases: launch kits, internal training, external announcements, and coordinated campaign assets. Partner with demand generation on assets aligned to key personas — webinar content, landing pages, emails, and nurture materials. Market & Ecosystem Awareness Monitor trends in enterprise Kubernetes, container security, cloud-native virtualization, and open-source infrastructure to surface insights that sharpen GTM strategy. Contribute to analyst and media briefings; help maintain Mirantis' presence in industry reports (Gartner, Omdia, IDC, and others). Qualifications Required 5–8 years of experience in product marketing, technical marketing, or solutions marketing within the enterprise infrastructure, cloud-native, or DevOps space. Demonstrated knowledge of Kubernetes, not just awareness. You should be able to discuss cluster lifecycle management, container runtimes, image registries, Helm, operators, and multi-cluster topologies credibly with an engineer. A strong portfolio. We will ask to see published work (blog posts, white papers, solution briefs, battlecards, sales decks) and will evaluate writing quality, technical accuracy, and narrative clarity. Proven experience building and delivering sales enablement programs, not just creating assets, but also running trainings and iterating based on field feedback. Solid competitive analysis skills with experience profiling platforms like Red Hat OpenShift, VMware Tanzu, Rancher/SUSE, or similar. Excellent writing/editing skills across formats and audiences: you can create a technically precise white paper and a crisp executive summary on the same topic without heavy editing support. Comfort working cross-functionally in a fast-moving, distributed environment with a high degree of autonomy. Nice to Have Hands-on experience running Kubernetes in any capacity: personal projects, a past engineering or DevOps role, etc. Familiarity with OpenStack, virtualization-on-Kubernetes, or bare-metal infrastructure. Experience with container runtimes or image registry concepts. Exposure to enterprise sales cycles and the field dynamics of selling infrastructure software to large organizations. Who You Are You think like an engineer, write like a journalist, and move like a marketer. You're genuinely interested in how Kubernetes works under the hood and can sit down with a product manager or solution architect, ask the right questions, and walk away with enough to build a compelling narrative. You default to clarity over jargon, ship content and iterate rather than waiting for perfection, and you treat the sales team as your best source of market intelligence. You thrive in an environment where you own your domain. You know how to build a messaging framework from scratch, conduct a thorough competitive analysis, and structure a sales enablement session that leaves reps with something they'll actually use. Additional Information What does Mirantis offer you? • Work with an established Silicon Valley leader in the cloud infrastructure industry;, • Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;, • Be a part of cutting-edge, open-source innovation;, • Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;, • Internship provides you with the opportunity to combine work and education;, • Professional development and training;, • Attend conferences and working groups;, • Modern bright office, centrally located and close to public transportation;, • Customized workstation (macOS, Windows, Linux);, • Company outings, happy hours, hackathons, and tech talks;, • Receive a competitive compensation package with a strong benefits plan. We are a Leader for Container Management in G2 (#2 after AWS)!

Job DescriptionSalary: $35-$42 per hour SUMMARY TheNext Stage Design Home Remodeling Specialist (Carpenter) is responsible to perform remodeling / all around carpentry, maintenance, and repair work in residential homes by performing the activities and various field-based duties during the construction process for a selected set of projects in a manner that ensures professional behavior, a quality product, a satisfied client, a safe, neat, and clean job site and working environment. KEY QUALIFICATIONS Required Skills • Knowledge of Buildertrend applications., • Basic blueprint/drawing knowledge., • Ability to perform basic framing., • Ability to perform basic trim work., • Ability to perform minor drywall patching., • Ability to install insulation & foam penetrations. The Home Remodeling Specialist is required to have reliable transportation to and from area job sites, and provide their own tools. Preferred Skills • Ability to perform basic electrical., • Ability to perform basic plumbing., • Ability to perform advanced carpentry., • Ability to perform basic painting., • Ability to perform minor concrete repair., • Full understanding of job scope., • Full understanding of change order procedure. ESSENTIAL DUTIES ADMINISTRATIVE • Log working hours and material purchases daily on BuilderTrend and use scheduling and other job related software as necessary., • Contact the Project Manager daily and as necessary to communicate job schedule, status, and variables., • Maintain appropriate and timely client communication / relationship while on the job, including handling client expectations, reporting the jobs progress, and informing the Project Manager of any necessary changes to project scope., • Participate in training and education of new carpenters., • Adequately maintain company provided electronic hardware and tools., • Adequately maintain personal vehicle branded with company magnetic sign a in safe and clean condition per company policy., • Attend and participate in bi-monthly Production Department meetings. PRE-CONSTRUCTION PHASE • Examine job documentation and contract to ensure understanding of projects scope and budget., • Attend and actively participates in project package transfer activities as determined by Project Manager., • Attend pre-construction walkthrough on assigned projects with Project Developer, Designer (if applies), and Project Manager., • Develop rough and selected finish material list and edit as required., • Arrange for pick up and deliver all non-special ordered material to job site as needed., • Verify the delivery and good condition of all special ordered materials as needed., • Order key materials for projects that involve technical and construction assessment (doors, windows, siding material, etc.). CONSTRUCTION PHASE TASKS The Home Remodeling Specialist takes leadership role on job sites working with and maintaining successful sub/vendor trade partner relationships and by monitoring sub-contractors working on the job as needed alongside Project Manager and Project Supervisor. • Perform essential remodeling and repair work, including but not limited to:, • Demolition, • Caulking, • Drywall and plaster repair, • Basement and attic work, insulation work, • Roof patch and repair, • Door and window installation and replacement, • Porch and deck building and repair, • Preferred skills, • Carpentry including complex framing, electrical, plumbing and finish trim, • Miscellaneous electrical work, • Minor plumbing work, • Railing and fence work, • Flashing and door pans, • Siding installation and repair, • Minor concrete and masonry work, • Punch list items including occasional painting touch up, etc., • Understand the need for and impact of change orders with the ability to inform the Project Manager of any unforeseen or potential change orders on the job., • Ensure job site is clean and arrange removal of debris from jobsite and coordinate with driver for trash pick-up from job site when needed., • Participate in final walk-through with Project Manager and develops a punch-list of any items which are not completed., • Stand for inspections as needed on assigned projects. EDUCATION/EXPERIENCE • High school diploma or general education degree (GED); and 6 - 10 ten years related experience and/or training; or equivalent combination of education and experience., • Basic knowledge of drywall, roofing, sheet metal work, painting, insulation, minor concrete, and various other basic construction trades., • Ability to take and pass the Lead Safe Certified and OSHA 10 Certification training., • Basic to advanced working knowledge of framing, electrical and finish trim, and basic working knowledge of other trades., • Working knowledge of construction procedures, codes, and standards., • Ability to meet and conduct building inspections.

Job DescriptionJAVA Developer Santa Clara, CA (Onsite; hybrid is possible, but no remote work) Duties: • Identify business needs by establishing personal rapport with actual, potential, and internal clients, • Design, develop, and implement highly scalable client server programs in a cloud environment, • Identify appropriate microservice implementation and build cloud hosted services, • Recommend alternate approaches, analyze product design impact, and provide sizing estimates collaborate with other cross platform team members to build effective integrations, • Participate in design sessions and code reviews, • Work with business requirement partners to design, develop, and refine the graphical user experience of an application, • Confirm program operation by conducting unit, system, and integration tests; modifying program sequence and/or codes as necessary, • Prepare project related documentation, G.A.P. analysis, functional specifications, design specifications, • Complete development activities including reports, interfaces, conversions, improvements, and forms during different stages of a project, • Identify new technologies and solutions to improve existing infrastructure, • Work closely and build relationships with other teams and communicate with various platform service, • Develop tools and infrastructure to improve quality and efficiency of testing, • Reproduce and debug issues found during and after software release, • Build out distributed systems using big data open source programming tools, • Work with research teams and data scientists, finding bottlenecks to the design process and resolving them efficiently, • Lead software development projects, like automated malware analysis solution, • Interview, mentor, and coach new team members, • Learn and adapt to new programming languages and technologies on an as-needed basisSkills:, • Java, Python, and JavaScript development within team environments and large implementations, • Experience in Agile and/or Scrum environments for project planning and sprints, • Experience with developing Single Page Applications using React.js and Redux, • Experience with developing applications using Amazon Web Services (AWS), • Ability to handle multiple deliverables in a dynamic environment with similar timelines, • Deep understanding of integrated flows for customer support processes, • Comfortable accessing and manipulating various web and local data sources such as relational and NOSQL databases, RESTful APIs calls, • Experience debugging, logging, and tracking issues, • Knowledge of Java, Spring Boot, Node.js, React.js, Redux, Linux, MVC, MySQL, Visual Studio, GIT, WCF, WebAPI, Exress.js, Hapi.js, IIS, AWS, Jira, Confluence and others, • Product development experience with container technologies, • Familiar with malware sandbox environments or cybersecurity, • Experience with Python, Tomcat, JS, and DockerEducation: Bachelors degree in Computer Science, Information Technology, or a related field.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role We’re seeking a Senior API Integration Engineer to serve as a strategic technical partner driving enterprise-wide digital transformation through intelligent automation and scalable system integrations. This role will lead the design and delivery of mission-critical integrations across our People Tech ecosystem while setting integration standards, mentoring engineers, and partnering closely with business leaders to modernize workflows at scale. What You’ll Be Working On Architecting and building enterprise-grade integrations using the Workato ONE platform to enable intelligent workflow automation Designing, developing, and maintaining deep API integrations across a broad enterprise application stack spanning business-critical systems(ERP, CRM, etc.) Leveraging AI-powered automation within Workato to improve efficiency, resiliency, and predictive process optimization Establishing reusable integration architecture patterns, frameworks, and governance standards that scale across both human-led and automated workflows Partnering with business and IT stakeholders to gather requirements, lead discovery sessions, assess ROI, and translate complex needs into scalable technical solutions Leading integration initiatives end-to-end, from concept through deployment, including sprint execution, technical reviews, and delivery accountability Providing senior-level escalation support, ensuring reliability, monitoring, alerting, and incident response for critical integrations What You’ll Bring to the Team 7+ years of experience as an API Developer or Integration Engineer in enterprise environments 3+ years of hands-on production experience with Workato, ideally with Workato ONE Deep expertise building and operating complex Workato recipes, including error handling, monitoring, batch processing, custom connectors, SDK development, and API collections Interest in and exposure to AI-assisted development workflows and intelligent automation — you don't need to be an expert, but you should be excited about where integration engineering is heading Collaborating with internal software engineering teams to ensure integration patterns and API access are available for custom-built internal tools and automations Proven experience integrating enterprise SaaS platforms across domains such as HCM, ERP, CRM, finance, or similar Expert knowledge of enterprise integration best practices, EAI/SOA patterns, and iPaaS architectures Proficiency with RESTful APIs, webhooks, JSON/XML, OAuth 2.0, SAML, SOAP, RBAC, and API security best practices Experience with Agile/Scrum delivery, Jira/JSM, Confluence, and CI/CD workflows Strong understanding of HR data models, compliance requirements (e.g., GDPR, SOC 2), and secure handling of sensitive PII Bonus Points Workato Foundations or Integration Developer certifications Experience with leading enterprise SaaS platforms and their native integration tooling Experience with additional iPaaS platforms (e.g., MuleSoft, Boomi, Informatica) Background in HR technology consulting or HRIS implementations General experience with cloud platforms (AWS, Azure, or GCP), IaC tools, or identity and SSO integrations Experience in high-growth or highly regulated environments Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $165,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionSenior Engineer / Technical Lead You’ll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You’ll Love NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment Become a Key Player as a Senior Engineer / Technical Lead You will lead the effort to build and scale an AI-driven developer productivity and engineering intelligence program that measures engineering speed, quality, and reliability. Your work will influence engineering and leadership stakeholders by delivering dashboards, scorecards, and automation that enable data-driven decisions. This role is fully onsite (San Jose) and works closely with engineering, platform, data, and developer experience teams. Here’s How You’ll Make an Impact on the Team • Instrument and track AI tool adoption and measure suggestion acceptance and AI-assisted PR trends, • Connect AI usage and tooling to real delivery outcomes and publish weekly scorecards, • Implement and monitor DORA metrics (deployment frequency, lead time, change failure rate, recovery time), • Build GitHub-based insights such as PR cycle time (p50/p75), review SLAs, throughput, WIP aging, and merge→deploy timing, • Enforce test coverage targets and monitor end-to-end health (Playwright pass rate, flakiness, time-to-fix), • Track rework signals (churn, reverts, hotfixes) and ensure reliability does not regress with increased velocity, • Standardize PR templates and labels, automate ingestion from GitHub/CI/CD/AI tools, and deliver unified team-level dashboards, • Establish privacy-conscious governance standards around AI usage and developer metricsHere’s What You’ll Need to Be Successful in This Role, • 6+ years of software engineering experience (platform or backend preferred), • Experience with GitHub APIs, CI/CD systems, and engineering analytics, • Familiarity with DORA/Four Keys metrics, • Experience with automated testing frameworks (Playwright preferred), • Strong systems thinking and the ability to balance speed, reliability, and sustainability, • Demonstrated ability to work across engineering, platform, and leadership stakeholders, • Bachelor’s degree in Computer Science or equivalent experienceHere’s What Else Might Help You Out, • Experience with AI developer tools, • Experience building internal analytics or developer platforms, • Background in developer experience (DevEx) or engineering enablementReady to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description Our story is simple: we’re a real estate company focused on epicenters of innovation for media and tech. That was our Chairman and CEO Victor Coleman’s vision when he founded the company in 2006. He began building a seasoned team, purchased two Hollywood studio lots, and dramatically expanded our California office footprint by taking the company public in 2010. Today, from our Los Angeles headquarters, to Silicon Valley, to San Francisco, to Seattle, to Vancouver and beyond, we own, transform, build and operate marquee office and studio properties. Fortune 500, premier growth companies and groundbreaking start-ups, with an emphasis on those in the media and tech industries, call these properties home. Our expertise and our industry relationships enable us to access markets and assets ahead of the curve. We concentrate on where the talent is and wants to be—just like our tenants and clients. We work closely with them to find and create the perfect environment, and to provide the services that enable their employees to thrive. We build, we create value and we’re always looking towards what’s next. We are seeking an Assistant Project Manager who will oversee planning, design, scheduling, budgeting, contract administration and management for various projects. These projects will include large-scale building renovations, capital improvements, tenant improvements and repair and maintenance of existing properties, all while keeping the project within budget. The Assistant Construction Project Manager will manage these projects from start to completion with full budgetary and schedule responsibility. This role is primarily based in our Redwood Shores regional office, but will occasionally support projects in San Jose, Palo Alto, and/or Foster City, with travel between these locations. What You'll Do Oversee and manage the development of work scopes, bidding, project progress contract negotiations, permitting, and project close-out documentation for assigned capital improvements and tenant improvements at assigned properties. Create and oversee assigned budgets, pricing, and schedules, both planning and actual construction. Assist Leasing Department with pricing, negotiations and any other Tenant issues and consult on pending lease deals. Inspect and review projects to ensure compliance with building and safety codes, and other regulations and obtain all necessary permits and licenses. Assist in negotiations with architects, consultants, clients, suppliers and subcontractors. Assist in interpreting and explaining plans and contract terms to workers and clients, representing the owner. Assist Project Managers in conferring with tenants, contractors, and design professionals to discuss and resolve matters such as work procedures, complaints, and construction issues. Ensures client satisfaction by providing prompt follow-up on work orders for maintenance and meeting regularly with property managers and tenants. Creates, updates, and analyzes detailed budgets, including payment approvals (billing & invoices), budget tracking, and cash flow reports. Coordinates projects with property managers and building engineers. Reviews the status of all projects with property managers and tenants regarding schedules and pricing, quality control, and contractor responsiveness. Coordinates with space planners for drawing distribution and timing. Updates trackers with project status and schedule updates on a weekly basis Miscellaneous duties as assigned. What You'll Need Bachelor’s Degree preferred in architecture, engineering, construction management or some related field. PMP and/or LEED certification is preferred. Minimum three years of experience supporting commercial construction projects in a project management, construction management, or related role, including experience on the owner, developer, contractor, design, or facilities side. Demonstrated working knowledge of computers and software including MS Windows, Word, and PowerPoint. Proficient in using MS Project and Excel. Technical knowledge of all aspects of commercial office building construction and a strong working knowledge of California building requirements are preferred. Experience in retail or restaurant construction is a plus. Excellent communication skills, both writing and verbal are essential to collaborate with tenants, leasing, property management, engineering and executives. Ability to work under pressure and manage competing priorities while staying focused and meeting deadlines without sacrificing accuracy. Ability to multitask, attentive to detail, with excellent follow-up skills. Ability to adapt to a changing environment and perform in a fast-paced entrepreneurial environment. Essential Physical Functions/Environment Requires a wide range of constant physical activities, including but not limited to: standing, walking, and sitting. Requires close, distance, peripheral vision, and depth perception. Requires work such as tours throughout the property portfolio, including to construction sites, usually performed by walking and by climbing stairs. Requires movement between departments to facilitate work. Requires lifting plans or boxes of 25 pounds or more occasionally. Hudson Pacific Properties is proud to be an Equal Opportunity employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, sex, gender identity or expression, national origin, age, disability, medical condition, marital status, sexual orientation, genetic information, protected veteran status, or any other basis protected by applicable law, including federal, state, and local fair chance laws. Employment is contingent upon completion of applicable screenings in accordance with local laws. The company uses E-Verify to confirm the identity and employment eligibility of all new hires. If you require a reasonable accommodation during the application or hiring process, please notify us at talent@hudsonppi.com so we can support you throughout the recruitment experience.

Job Description DeepSight Technology Inc. is an early-stage, pre-commercial medical device company with a vision for Physical AI -scaling advanced multimodal sensing technologies so clinicians can see more, sense more, and guide procedures with greater precision and confidence. Our vision starts with developing a breakthrough platform combining acousto-optic sensing technology and ultrasound imaging. DeepSight is seeking dedicated, talented team members as we scale. We offer a collaborative, team-oriented environment along with competitive compensation and generous benefits Job Description We are looking for a software engineering leader with a strong background in medical devices and object oriented programming languages such as C++ to shape our new ultrasound imaging platform. As a Software Manager, you will lead a team developing enabling frameworks, setting up the foundational architecture and features. You will help establish coding practices that foster high-growth teams and comply with industry standards. You will play a vital role in scaling our engineering organization by recruiting top-tier talent and providing the professional mentorship and career development needed to sustain a high-performing team. Being a team player, you enjoy working with our infrastructure, clinical, UX, hardware, and systems engineers as you work to optimize our system prototype and product designs. As a Software Manager, your responsibilities are: • Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team, • Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the desired clinical application., • Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical components using C++, serving as a technical resource and problem solver for the team., • Facilitate Cross Functional Collaboration: Collaborate with systems, hardware, usability, and clinical team members to ensure seamless roll out of software components for an optimized clinical workflow, • Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle. Required Qualifications: • BS in an engineering or computer science field, • 5+ years designing and developing applications, with 2+ years in a formal or informal leadership/management role., • Strong background in object-oriented programming, software architecture, and design patterns, • Proficiency with modern C++ (C++14/17/20) programming, • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing, • Proven ability to lead and manage technical teams through the full software development life cycle-from initial design to implementation and performance optimization, • Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders., • Passionate about medical devices, with excellent communication and teamwork skills Preferred Qualifications (The "Stand-Out" Skills) We don't expect one person to have all of these! Experience in any of the following will help a candidate stand out: • Proven experience delivering software under IEC 62304, ISO 13485, or similar regulated environments, • Knowledge of OpenGL and 3D rendering or Experience in QT/QML GUI framework, • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL), • Knowledge in medical imaging (Ultrasound, PET, SPECT, CT, MR, etc.), • Experience interfacing with hardware components and systems, • Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems, • Knowledge of medical device cybersecurity best practices, • Experience in Localization and Internationalization of GUls Other Qualities We Are Looking For • Positive - a can-do attitude that helps you rise to challenges, • Collaborative - a team player who can effectively communicate with others, • Attentive to detail - nothing gets by you, • Efficient - a knack for effectively prioritizing tasks and managing your time, • Pride in your work - real desire to do quality work, • Career-minded - looking for more than a job, • Empathy - a mindset of producing quality products that help people Benefits and Perks We offer great benefits and perks: • Competitive salary, • Stock options, • Medical, dental, and vision insurance, • 401(k) retirement plan Job Posted by ApplicantPro

Job Description About the Institute of Foundation Models The Institute of Foundation Models is a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, support the next generation of AI builders, and develop impactful systems that improve how frontier models are trained, evaluated, deployed, and governed. As part of our team, you will work closely with researchers, machine learning engineers, data scientists, software engineers, and product teams on some of the most important challenges in AI development. You will contribute to systems that help measure model quality, identify failure modes, and improve the reliability, safety, and readiness of model releases. The Role We are looking for an Eval360 - Error Analysis Engineer to help build, improve, and operate Eval360, an evaluation service that serves as a quality gate for AI models. This person will focus specifically on error analysis: understanding where models fail, why they fail, how those failures should be categorized, and how evaluation systems can better detect, measure, and prevent these issues before models are released. You will collaborate with researchers, machine learning engineers, product managers, data scientists, and platform teams to develop AI evaluation applications and internal tools based on next-generation AI research. You will be part of a cross-functional team responsible for the full software development lifecycle, from requirements gathering and system design to implementation, deployment, monitoring, debugging, documentation, and continuous improvement. The ideal candidate is comfortable working across the stack, including front-end interfaces for reviewing errors, back-end evaluation pipelines, data analysis workflows, model evaluation infrastructure, databases, dashboards, and APIs. This person should have strong software engineering skills, excellent analytical judgment, and the ability to turn ambiguous model failures into structured insights that improve evaluation quality. Key Responsibilities • Collaborate with researchers, machine learning engineers, data scientists, product managers, and internal stakeholders to implement innovative software solutions for Eval360 and related model evaluation workflows., • Build and improve Eval360 as an evaluation service that acts as a quality gate for model development, model comparison, and model release decisions., • Perform deep error analysis on model outputs, including identifying failure patterns, categorizing issues, tracing root causes, and proposing improvements to evaluation methodology., • Develop tools, workflows, and dashboards that make it easier for researchers and engineers to inspect model failures, compare model behavior, and understand quality regressions., • Design and implement client-side and server-side architecture for evaluation review systems, error analysis interfaces, reporting tools, and internal evaluation applications., • Develop responsive, usable interfaces that support error triage, annotation review, evaluation debugging, and model quality investigation., • Build and maintain back-end services, APIs, data pipelines, and integrations that support evaluation execution, results storage, analysis, and reporting., • Test software to ensure responsiveness, correctness, reliability, and efficiency across evaluation workflows., • Troubleshoot, debug, and upgrade evaluation systems, including identifying issues in data processing, evaluation metrics, model output handling, job orchestration, and user-facing analysis tools., • Create and maintain security, access control, and data protection settings for evaluation data, model outputs, annotations, and internal tooling., • Write clear technical documentation for Eval360 systems, error taxonomies, evaluation workflows, debugging procedures, and user-facing tools., • Work with researchers, data scientists, analysts, and machine learning engineers to improve evaluation quality, model diagnostics, and failure-mode visibility., • Keep track of new development tools, evaluation frameworks, model analysis methods, data quality techniques, and architectures relevant to AI evaluation systems., • Contribute to the design of error taxonomies, evaluation rubrics, quality thresholds, regression detection methods, and model readiness criteria., • Help ensure Eval360 produces reliable, interpretable, and actionable signals for model quality gates., • Contribute to research publications, technical reports, internal knowledge sharing, and external presentations where appropriate., • Contribute to intellectual property and thought leadership in AI evaluation, error analysis, model quality measurement, and evaluation infrastructure., • Perform all other duties as reasonably directed by the line manager that are aligned with these functional objectives. Academic Qualifications • Bachelor's degree in Computer Science, Machine Learning, Data Science, Software Engineering, Statistics, or a related technical field required., • Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related field preferred. Professional Experience • Proven experience as a Software Engineer, Full Stack Developer, Machine Learning Evaluation Engineer, Data Scientist, AI Engineer, or similar role., • Experience building software systems for AI, machine learning, data analysis, evaluation, annotation, experimentation, or model monitoring., • Experience working with AI algorithms and the ability to develop systems that accommodate AI-related requirements., • Experience performing error analysis, model evaluation, data quality analysis, or failure-mode investigation for machine learning or language model systems., • Experience developing internal applications, dashboards, review tools, or web-based workflows for technical users., • Familiarity with common software stacks, including front-end frameworks, back-end services, databases, APIs, and cloud or internal infrastructure., • Familiarity with GitHub, Git, CI/CD workflows, and collaborative software development practices., • Knowledge of front-end languages and libraries such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar technologies., • Knowledge of back-end languages and frameworks such as Python, Java, C#, Node.js, FastAPI, Flask, Django, or similar technologies., • Familiarity with databases such as MySQL, PostgreSQL, MongoDB, or other structured and unstructured data stores., • Familiarity with evaluation frameworks, experiment tracking systems, data pipelines, or machine learning infrastructure is strongly preferred., • Ability to analyze complex model outputs and translate qualitative failures into structured, measurable categories., • Strong problem-solving and troubleshooting skills, especially for ambiguous technical issues involving models, data, metrics, and software systems., • Effective communication and collaboration skills, with the ability to work across research, engineering, data, and product teams., • Strong attention to detail and a high bar for evaluation quality, reliability, and interpretability. Preferred Qualifications • Experience with large language models, foundation models, multimodal models, or model evaluation systems., • Experience designing or using error taxonomies, evaluation rubrics, benchmark datasets, human evaluation workflows, or automated grading systems., • Experience with Python-based data analysis tools such as pandas, NumPy, Jupyter, or similar., • Experience with visualization or dashboarding tools for model quality analysis., • Experience with distributed systems, job queues, workflow orchestration, or large-scale data processing., • Experience working in a research environment or with fast-moving AI product and model teams. Salary Range The posted salary range represents the company’s good faith estimate of the compensation for this position upon hire. The actual compensation offered may vary within this range depending on individual qualifications, including but not limited to relevant skills, experience, education, certifications, geographic location, and specific business needs. Visa Sponsorship This position is eligible for visa sponsorship. Benefits Include • Comprehensive medical, dental, and vision benefits, • Bonus, • 401K plan, • Generous paid time off, sick leave, and holidays, • Paid parental leave, • Employee assistance program, • Life insurance and disability insurance

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. What You’ll Be Working On: Tuesday - Saturday Shift Pattern. Tuesday - Friday on site - Saturday Remote. Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+). On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues. Incident Management: Primary point of contact for incident management, focusing on initial triage, communication, and procedural rigor throughout the incident lifecycle. You'll lead response efforts, ensuring clear communication with both technical and non-technical stakeholders and acting as a customer advocate to minimize disruption. Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools. Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing. Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery. Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures. Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs). What You’ll Bring to the Team: Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience. Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments. Version Control: Proficiency with Git for code management and collaboration. Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments. Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana). Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP). Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations. HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN). Bonus Points: Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. Cloud Expertise: Deep understanding of specific cloud platforms and services. Automation Skills: Experience with automation tools and scripting languages. Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: Competitive compensation and equity packages Restricted Stock Units Paid time off, paid holidays & leave of absence programs Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Global travel insurance & emergency assistance Daily meals allowance Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $145,000 - $175,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role The Product Manager, Compute is responsible for defining and delivering Crusoe Cloud’s core compute offerings, spanning GPU and CPU infrastructure, bare metal, virtualized compute, and orchestration layers that power AI training and inference workloads. This role owns the strategy and execution of compute capabilities that form the foundation of Crusoe’s IaaS and Managed AI services. You will define how customers access and consume large-scale compute resources, translating evolving AI workload requirements into scalable, reliable, and economically efficient products. This includes shaping infrastructure capabilities across hardware platforms, fleet management, scheduling, performance optimization, and developer experience. The role operates at the intersection of infrastructure, economics, and product strategy, ensuring compute investments translate into customer value and business outcomes. The Product Manager, Compute collaborates closely with engineering, infrastructure operations, networking, storage, finance, sales, and customer success teams to deliver compute platforms that meet the needs of AI-native companies and enterprise customers running demanding workloads at scale. What You’ll Work On Define and execute the product strategy for Crusoe Cloud compute services, including GPU and CPU infrastructure, bare metal offerings, and virtualized compute environments supporting AI training and inference workloads Translate emerging AI workload requirements into product capabilities across performance, scheduling, isolation, utilization, and reliability Drive roadmap decisions across hardware platforms, including new GPU generations, server architectures, and cluster topologies, ensuring alignment between infrastructure investments and customer demand Partner with engineering and infrastructure teams to deliver fleet-level capabilities such as provisioning, lifecycle management, observability, and performance optimization across large-scale compute environments Collaborate with networking and storage product teams to ensure integrated infrastructure performance for distributed AI workloads Define pricing and packaging models that balance utilization, customer flexibility, and long-term infrastructure economics Work closely with sales, customer success, and solutions engineering to incorporate customer feedback into roadmap prioritization and product iteration Lead cross-functional execution from concept through launch, coordinating efforts across Product, Engineering, Operations, Finance, and GTM teams Develop executive-level narratives and decision materials that inform capital allocation, capacity planning, and product direction Represent Crusoe’s compute strategy internally and externally, supporting technical discussions with customers and partners as needed What You’ll Bring Strong product management experience delivering infrastructure or platform products, ideally within cloud infrastructure, HPC, or AI/ML environments Deep understanding of compute infrastructure concepts including virtualization, containerization, distributed systems, and large-scale cluster operations Familiarity with GPU-based workloads and AI infrastructure, including training and inference characteristics, scheduling challenges, and performance considerations Experience working across hardware and software boundaries, translating infrastructure capabilities into customer-facing products Ability to balance technical tradeoffs, customer requirements, and infrastructure economics when making product decisions Strong analytical skills with the ability to interpret utilization, performance, and financial metrics to guide roadmap prioritization Experience collaborating across engineering, operations, finance, and GTM teams to deliver complex infrastructure products Strong communication skills with the ability to articulate technical concepts and connect them to customer and business outcomes Bonus Points Experience working with large-scale GPU fleets or AI infrastructure platforms Familiarity with Kubernetes, Slurm, or other workload orchestration systems used for AI and HPC workloads Experience building products for AI-native customers or operating AI workloads directly Background in infrastructure economics, capacity planning, or capital-intensive product environments Benefits: Competitive compensation Restricted Stock Units Paid time off & paid holidays Comprehensive health, dental & vision insurance Employer contributions to HSA account Paid parental leave Paid life insurance, short-term and long-term disability Professional development & tuition reimbursement Mental health & wellness support Commuter benefits (parking & transit) Cell phone stipend 401(k) Retirement plan with company match up to 4% of salary Volunteer time off Compensation Range Compensation will be paid in the range of $208,725 - $253,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job Description We are looking for an engineering leader with a strong background in medical imaging, AI, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As the Software Manager for the Imaging and AI team, you will lead a team developing and optimizing algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system. As a Software Manager for Imaging and AI, your responsibilities are: • Team Management and Mentorship: Manage a team of individual contributors and cultivate a high-performing team, • Strategic Planning: Work closely with product and project management teams to define software deliverables, set timelines, and prioritize tasks in alignment with the company's goals for the ultrasound imaging platform., • Technical Implementation: Maintain hands-on involvement by reviewing and contributing to the implementation of critical algorithms using C++ and CUDA, serving as a technical resource and problem solver for the team., • Guide Advanced Algorithm Development: Oversee the research and development of advanced algorithms and image processing techniques to enhance spatial resolution and image quality in ultrasound imaging, providing technical mentorship to team members., • Foster AI and Machine Learning Integration: Champion the exploration and implementation of machine learning and AI techniques to enhance image analysis, automate diagnostic workflows, and assist clinicians with interpretation tasks., • Facilitate Systems Integration: Collaborate with systems and hardware engineers to ensure seamless integration of software and hardware components for optimized data acquisition, processing, and display., • Ensure Compliance and Quality Standards: Ensure the team adheres to relevant regulatory and quality standards (e.g., ISO 13485, IEC 62304), integrating robust verification and validation practices into the development lifecycle. Required Qualifications: • BS in an engineering or computer science field, • Familiarity in signal and image processing and algorithm development in medical imaging, • Strong background in object-oriented programming, software architecture, and design patterns, • Proficiency with C++ programming, • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL), • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing, • Proven ability to lead and manage technical teams in designing, implementing, and optimizing algorithms for imaging applications., • Adept at collaborating with cross-functional teams, including hardware, systems, and clinical stakeholders., • Passionate about medical devices, with excellent communication and teamwork skills Preferred Qualifications: • PhD in Electrical/Biomedical engineering with a dissertation topic related to medical imaging, • Knowledge of ultrasound physics, beamforming, simulation and algorithm development, • 8 or more years of experience in commercial software development, • Experience in medical imaging product development (FDA regulated), • Experience with real-time software applications, • Experience interfacing with hardware components and systems, • Familiarity with healthcare standards, including DICOM, HL7, and integration with PACS systems, • Knowledge of AI/ML techniques applied to medical imaging, including model training, validation, and deployment in clinical workflows Other Qualities We Are Looking For • Positive - a can-do attitude that helps you rise to challenges, • Collaborative - a team player who can effectively communicate with others, • Attentive to detail - nothing gets by you, • Efficient - a knack for effectively prioritizing tasks and managing your time, • Pride in your work - real desire to do quality work, • Career-minded - looking for more than a job, • Empathy - a mindset of producing quality products that help people Benefits and Perks • We offer great benefits and perks:, • Competitive salary, • Stock options, • Medical, dental, and vision insurance, • 401(k) retirement plan Job Posted by ApplicantPro

Job DescriptionSoftware Fullstack Developer Full-time San Jose, CA You’ll be joining Adobe on a contract opportunity, employed through NextDeavor Benefits You'll Love NextDeavor offers health, vision and dental benefits for contract employees Paid sick leave eligibility is contingent on state of residence Optional 401k Plan (excludes employer match) Opportunity to get your foot in the door at a well-established corporation, with potential for extended or permanent full-time employment Become a Key Player as a Software Fullstack Developer You will build and sustain scalable web applications and serverless services that support high-traffic environments, delivering measurable value to product and marketing stakeholders. You will collaborate with designers, backend engineers, product managers, and the team to drive technical decisions and improvements. This role is Hybrid — San Jose office, 4 days a week. Here's How You'll Make an Impact on the Team • Develop and maintain reusable frontend components using modern JavaScript frameworks (React or Vue.js), • Build Node.js backend services, APIs, and middleware to power integrations and platform features, • Design and manage DynamoDB schemas and serverless workflows using AWS Lambda, • Integrate and document RESTful APIs using OpenAPI specifications, • Support AI-assisted workflows, including embedding generation, vector search, and intelligent content retrieval, • Optimize applications for performance, accessibility, and SEO, • Participate in architecture discussions and contribute to cloud and AI-enabled technical decisionsHere's What You'll Need to Be Successful in This Role, • Strong proficiency in JavaScript, HTML5, and CSS/SCSS, • Comfortable working with vanilla JavaScript outside of a framework, • Experience with React or Vue.js, • Experience building Node.js backend services or APIs, • Experience interacting with RESTful APIs and OpenAPI specifications, • Experience with AWS services such as Lambda and DynamoDB, • Ability to work effectively in Agile or collaborative team environments, • Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related fieldHere's What Else Might Help You Out, • Experience with enterprise CMS platforms or headless CMS, • Experience with serverless systems on AWS, • Experience with AI/LLM technologies and vector databases or semantic search systemsPay Range $70.42 - $88.03/hour Ready to Make Your Mark? This role may fill quickly. Submit your resume to be considered. Apply with Pioneers here

Job Description About Etched Etched is building hardware for frontier intelligence. We co-design chips, racks, software, and manufacturing to deliver best-in-class throughput and latency across both prefill and decode workloads. Our first products are heavily focused on inference. Backed by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Job Summary Build the products that will power a majority of the world’s inference. The Core Engineering team is our special forces. This role works directly with our founders to identify critical gaps across the organization and build solutions 0 to 1, often in days not weeks, with immediate feedback loops. Your projects will vary widely: one week you might build internal infrastructure to unblock a hardware team, the next you might prototype a deployment for a customer or stand up a new tooling workflow. This role is for engineers who thrive on ambiguity, move fast without sacrificing quality, and get energy from solving whatever problem matters most right now. It is a whiteboard for future founders – if you’re interested in shipping 0-1 production-level code every week, this role is for you. This role requires not only exceptional full-stack engineering capabilities, but also deep product sense, personal accountability, and a knack for building from the ground up. At Etched, we’re developing our processes for scale, and we’re looking for engineers to deploy to our toughest challenges. The problems we solve are time-sensitive and business-critical. This role will not be a 9-5, and the ideal candidate is excited about that. Key Responsibilities Detect problems and inefficiencies across the organization, bringing them to the attention of the executive team, and develop custom applications and projects for each need. The ideal candidate should be comfortable shipping from scratch every week. Work cross-functionally to execute special projects between the executive team and the rest of the organization. Define and represent operational milestones by collecting company data, developing business intuitions, and executing whatever needs to be done to meet them. Design the interfaces, developer workflows, and critical infrastructure that will define the company’s technical foundation. You may be a good fit if you Strong full-stack skills (TypeScript, React, Python). 1-5 years of experience building and shipping software end to end, ideally in a startup environment. Product sense and its necessary prerequisites, from AI tooling proficiency to design taste. Bias towards action and comfort with incomplete information. Ability to continuously learn, set metrics, and solve problems with minimal supervision and maximum impact. Excitement for solving technical problems with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools. Strong candidates may also have experience with Infrastructure or DevOps experience Prior startup experience, especially during hyper growth Deploying AI systems in enterprise environments Benefits Medical, dental, and vision packages with generous premium coverage $500 per month credit for waiving medical benefits Housing subsidy of $2k per month for those living within walking distance of the office Relocation support for those moving to San Jose (Santana Row) Various wellness benefits covering fitness, mental health, and more Daily lunch + dinner in our office Unlimited compute budget subject to ROI justification How we’re different Etched believes in the Bitter Lesson. We are the first inference-focused frontier AI system, betting early on transformer and transformer-like architectures and on increasing model sizes. Our addressable market is the entirety of inference, unlike many of our competitors. We are a fully in-person team in San Jose (Santana Row), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed. Compensation Range: $150K - $275K

Job Description About NIO NIO Inc. is a pioneer and a leading company in the global smart electric vehicle market. Founded in November 2014, NIO aspires to shape a sustainable and brighter future with the mission of “Blue Sky Coming”. NIO envisions itself as a user enterprise where innovative technology meets experience excellence. NIO designs, develops, manufactures and sells smart electric vehicles, driving innovations in next-generation core technologies. NIO distinguishes itself through continuous technological breakthroughs and innovations, exceptional products and services, and a community for shared growth. NIO provides premium smart electric vehicles under the NIO brand, premium smart electric vehicles for families through the ONVO brand, and small smart high-end electric cars with the FIREFLY brand. About the Position This role is ideal for an experienced kernel or hypervisor engineer who wants to work hands-on with the foundations of NIO’s in-vehicle compute platform. You will join the core system software team behind SkyOS-H, NIO’s in-house hypervisor, and other SkyOS variants — contributing from architecture design to production deployment in next-generation intelligent vehicles. • Hypervisor & Kernel Performance at ScaleYou’ll work on low-level system software designed for real-time, high-efficiency, and safety-critical automotive environments. This includes optimizing latency and throughput, refining vIRQ handling, improving cache and memory subsystem efficiency (SMMU, coherency, and paging), and leveraging Arm V8 virtualization extensions (VHE). You will contribute to hypervisor scheduling, partition isolation, and secure domain management to achieve automotive-grade determinism and performance on modern SoCs., • End-to-End Impact & Intelligent Vehicle SystemsFrom early architecture exploration to kernel integration, driver development, validation, and production rollout — your work will directly power live vehicle systems. You’ll enable mission-critical domains such as AD/ADAS compute, sensor fusion, and secure boot/trusted execution (TrustZone, OP-TEE).In collaboration with AI and cloud teams, you’ll also support emerging LLM-based intelligent copilots and in-vehicle assistants, where hypervisor-level performance and scheduling directly enhance on-vehicle AI responsiveness. This role offers a rare opportunity to build real products that blend operating systems, virtualization, and intelligence at the edge — all within a fast-moving automotive environment.Responsibilities, • Develop and execute a microkernel-based operating system and hypervisor tailored for diverse on-vehicle applications in autonomous driving vehicles., • Analyze and enhance operating system functionalities for real-time performance, high efficiency, security, and functional safety., • Collaborate with the team to discuss and refine designs and implementations., • Lead through demonstration, serving as both a mentor and a mentee to foster team growth and knowledge sharing.Qualifications, • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field., • 1+ years of experience in embedded systems or low-level system software development., • Strong coding skills in C, ARM assembly, and in-line assembly., • Deep understanding of Arm V8 architecture: GIC, SMMU, cache hierarchy, and Arm Virtualization Host Extensions (VHE)., • Proficiency in Git, C/C++, Python, and object-oriented programming., • Experience with Linux kernel development or driver subsystems., • Knowledge of embedded system security: Arm TrustZone, OP-TEE, Secure Boot., • Ability to thrive and contribute effectively within a global, cross-functional engineering team.Benefits Along with competitive pay, as a full-time NIO employee, you are eligible for the following benefits on the first day you join NIO: Anthem PPO, HSA, and Kaiser HMO medical plans with $0 for Employee Only Coverage. Dental (including orthodontic coverage) and vision plan. Both provide options with a $0 paycheck contribution covering you and your eligible dependents. Company Paid HSA (Health Savings Account) Contribution when enrolled in the High Deductible CIGNA medical plan Healthcare and Dependent Care Flexible Spending Accounts (FSA) 401(k) with Brokerage Link option Company paid Basic Life, AD&D, short-term and long-term disability insurance Employee Assistance Program Sick and Vacation time 13 Paid Holidays a year Paid Parental Leave for first 8 weeks at full pay (eligible after 90 days of employment with NIO) Paid Disability Leave for first 6 weeks at full pay (eligible after 90 days of employment with NIO) Voluntary benefits including: Voluntary Life and AD&D options for you, your spouse/domestic partner and dependent child(ren), pet insurance Commuter benefits Mobile Cell Phone Credit Healthjoy mobile benefit app supporting you and your dependents with benefit questions on the go & support with benefit billing questions Free lunch and snacks Onsite gym Employee discounts and perks program CompensationThe US base salary range for this full-time position is $163,500.00 - $212,400.00. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits. 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 DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.About the Team The Developer Experience team owns the services, systems, and developer-facing capabilities that enable every engineer at CoreWeave to build and ship software faster, more safely, and with greater confidence. Our scope spans the full developer lifecycle, including build infrastructure, test systems, delivery workflows, internal developer tooling, and agentic AI capabilities that are redefining how engineers move from idea to production. We operate at the scale of one of the world's largest GPU clouds, which means our build, test, and delivery systems must handle extreme compute throughput, heterogeneous workloads, and the reliability demands of an infrastructure platform critical to thousands of engineers. About the Role This is a principal-level software engineering leadership role for an engineer who will define the long-term technical direction for Developer Experience across CoreWeave. You will operate across team boundaries, own the hardest software design and architecture problems in developer productivity, and shape the services, APIs, abstractions, and engineering standards that enable the organization to scale. Kubernetes is central to how CoreWeave's eco system operates. This role is ideal for someone who leads with deep software engineering skill first: someone who has built large-scale production software, designed distributed systems that hold up under real-world complexity, and knows how to turn developer productivity problems into elegant, durable software solutions. You should be equally comfortable setting technical strategy, writing and reviewing high-quality code, and guiding other senior engineers through ambiguous architectural decisions. What You'll Do • Define and drive the technical strategy for Developer Experience across build systems, test systems, delivery platforms, developer tooling, and agentic engineering capabilities., • Own delivery at scale. Define and drive the strategy for how code goes from commit to production reliably and quickly. Attack the bottlenecks — CI/CD throughput, build and test times, deployment safety, rollback speed, and release orchestration — across a large, multi-team codebase., • Architect and evolve the core services, APIs, SDKs, and software abstractions that power how engineers build, test, deploy, and operate software at CoreWeave., • Lead cross-team technical initiatives that improve engineering velocity, software quality, and system reliability at organizational scale., • Solve high-complexity software engineering problems involving distributed systems, service architecture, performance, scalability, concurrency, and failure handling., • Identify systemic bottlenecks in developer workflows and design durable software solutions that reduce friction without increasing operational complexity., • Establish technical standards and best practices for code quality, maintainability, testability, observability, and long-term system design across the engineering organization., • Partner with infrastructure, security, SRE, and product engineering teams to ensure DevEx systems integrate cleanly into the broader technical ecosystem., • Mentor senior engineers, raise the technical bar across teams, and help grow the next generation of staff-plus engineering leadership., • Design agent-safe developer interfaces and tooling that integrate LLM-driven workflows into the build, test and code review lifecycle - ensuring automation, AI-assisted tooling and human-in-the-loop systems are first class , well governed parts of developer experience., • Define and maintain the internal developer platforms' golden paths, service templates, and paved road abstractions that make it easy for engineers to do the right thing by default. Who You AreMinimum Qualifications, • 10+ years of software engineering experience, including significant time designing, building, and owning large-scale production software and distributed systems., • Proven ability to define multi-year technical strategy and execute across complex, cross-team domains., • Deep systems design expertise with strong opinions on API design, service architecture, data models, software abstractions, correctness, scalability, and long-term maintainability., • Strong software engineering fundamentals and proficiency in Go, Python, or similar languages, with a track record of shipping high-quality production services in cloud-native environments., • Deep experience debugging complex production issues and reasoning through distributed system behavior, performance bottlenecks, and failure modes., • Strong experience designing developer-facing software such as internal platforms, APIs, CLIs, SDKs, workflow engines, or other tooling that engineers rely on every day., • Deep understanding of Kubernetes and modern software delivery environments, with the ability to make sound architectural decisions in cloud-native systems., • Demonstrated ability to influence technical decisions at the organizational level and communicate clearly with both technical and non-technical stakeholders., • A track record of mentoring senior engineers and raising technical quality across teams.Preferred Qualifications, • Deep expertise in one or more DevEx domains such as build systems, test infrastructure, CI/CD, remote execution, caching, artifact systems, or developer environments., • Hands-on experience designing and operating large-scale distributed services that support high-throughput engineering workflows., • Experience building internal developer products with a strong focus on usability, API ergonomics, adoption, and long-term maintainability., • Experience with AI-native developer tooling, including LLM-integrated workflows, agentic frameworks, MCP-style tooling, or autonomous developer agents with strong safety and governance patterns., • Prior experience serving as a technical lead or system architect on a software platform with broad organizational impact., • Kubernetes operator development, CRD design, or control-plane work — especially in the context of managing developer workloads or CI/CD infrastructure on Kubernetes., • Prior experience at a cloud infrastructure company, hyperscaler, or HPC environment where engineering scale and compute heterogeneity create unique DevEx challenges., • Familiarity with container runtimes, OCI image standards, or artifact distribution systems at scale.What Success Looks Like, • Engineering teams move faster because the software systems behind build, test, and delivery are simpler, more reliable, and more scalable., • The organization has clearer technical standards and better software abstractions for how developer-facing systems are designed and evolved., • Developer Experience investments translate into measurable improvements in engineering productivity, software quality, and operational excellence., • CoreWeave continues to build a world-class engineering organization by solving developer productivity problems with strong software engineering discipline and long-term technical vision. The base salary range for this role is $227,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionASSOCIATE PRINCIPAL SOFTWARE ENGINEER Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com. Part of the team to build the Onboarding and AI Platform. The team builds an AI-based platform and onboarding experience for customers. WHAT YOU WILL BE DOING You will build the Pilot Rail (the human-in-the-loop approval interface for AI-generated plans), execution wave UIs (step-by-step progress tracking for multi-day agent workflows), and the policy gap reporting surface. Also will be responsible for connector health APIs, IaC template generation endpoints, plan envelope management, and the approval chain service. Across various products, you will contribute to the shared platform layer: the signed context packet format (the structured memory object passed between the human UI and the agent), the plan state machine (the lifecycle model for AI-generated plans from draft through approval to execution), the Pilot agent panel (the contextual guidance component embedded in every wizard and workflow), and the audit log service. Work across multiple agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, building foundational solutions, using cloud, SAAS and AI design patterns and technologies. Use AI and Agents to secure AI, using CUA agents, various LLM’s, agentic frameworks like ADK, Langchain, among others. Design and develop secure, scalable, multi-tenant software solutions that run seamlessly across major cloud platforms like AWS, Azure, and GCP. You will design and build product features end-to-end, from the React component through the API route to the database schema. You will write clear, testable code and participate in code review with the expectation that your feedback improves the codebase, not just the PR. You will work directly with product managers and designers to refine requirements before writing a line of code, and you will flag ambiguities early rather than building on an assumption. You will be responsible for the quality of your own work. That means writing unit and integration tests, monitoring the services you deploy, and fixing the bugs you introduce. It also means reading error logs, understanding the failure modes of the systems you build, and designing for graceful degradation — all of which are particularly important in an agentic context where the AI layer may be unavailable or return unexpected results. You will contribute to the team's engineering standards: API design conventions, component patterns, state management approaches, and the shared vocabulary used across the codebase. You are not expected to define these standards alone, but you are expected to engage with them seriously. At 3–5 years, we expect you to own a feature end-to-end with light guidance. You ask good questions before starting, surface blockers early, and deliver working software that meets the acceptance criteria. You write code that your teammates can read without a walkthrough. You fix your own bugs. You participate in design discussions and share your opinions, but you update them as you learn new information. We do not expect you to architect the system, lead the team, or have opinions on every technology choice. We do expect you to be curious, to read the codebase before asking questions it can answer, and to take pride in the quality of what you ship. WHAT YOU BRING Required: You have 6–10 years of professional software engineering experience, with at least one year building production web applications. You are comfortable working across the full stack and have a clear preference for writing code that other engineers can read and maintain. Working with LLM APIs (OpenAI, Anthropic, Amazon Bedrock) or agent frameworks (LangChain, LangGraph, or similar). You have experience building REST APIs in Python or a comparable language. You understand HTTP semantics, JWT authentication, and the basics of relational database design. You have written SQL queries, understand indexing at a conceptual level, and know when to reach for an ORM versus raw SQL. You have worked with Git in a team environment — branching, pull requests, code review — and you understand why these practices exist. You have deployed code to a cloud environment (AWS, Azure, or GCP) at least once and have a basic understanding of what happens between `git push` and a user seeing your change. Nice to have On the frontend, you have solid working knowledge of React and TypeScript. You understand the component lifecycle, state management patterns, and the differences among local state, context, and server state. Understanding of the human-in-the-loop pattern in agentic systems — specifically, how to design approval gates that are substantive rather than ceremonial. You have built forms, tables, and multi-step workflows. You are familiar with REST API integration from the browser and know how to handle loading states, error states, and stale data gracefully. Experience with WebSocket or Server-Sent Events for real-time UI updates. Familiarity with identity and access management concepts: SSO, SAML, SCIM, RBAC, JIT access, privileged access management. Experience with FastAPI, SQLAlchemy, or PostgreSQL. Exposure to IaC tooling (Terraform, AWS CDK, ARM templates) from a developer perspective — you do not need to be an infrastructure engineer, but understanding what these templates do is useful context for the PAM work. 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 DescriptionAbout Us At Lemurian Labs, we're reimagining the foundations of computing to make AI accessible to everyone. Our mission is to remove the limits of scale, hardware, and cost that hold back innovation, so the people solving humanity's hardest problems can move faster. We're building a new kind of software stack: a hardware-agnostic platform that makes every system — from a laptop to a supercomputer — feel like one seamless engine. Developers can write once, run anywhere, and get state-of-the-art performance across any chip, any cloud, at any scale. It's a complete rethink of how software and hardware interact — designed for the era beyond Moore's Law. We're not looking for the comfortable or the conventional; we're looking for the bold. The engineers who crave frontier problems, who want to bend the limits of what's possible, who see infrastructure not as a constraint but as a canvas. If you want to build the foundation for the next era of AI and change what humanity can achieve in the process, join us. About the Role We're looking for a Product Growth Lead who lives at the intersection of deep tech, community strategy, and product adoption. You'll define how the market experiences our product — serving as the primary bridge between our AI stack and the external developer and partner ecosystem, translating technical value into developer adoption at scale. This is a rare hybrid role that demands both technical fluency and go-to-market instincts. You'll architect the developer journey, own the feedback loop between the market and our product backlog, and build the relationships that matter in the open-source and cloud ecosystem. What You'll Do • Drive Developer Adoption: Lead the zero-to-one experience for our AI stack. Architect the developer journey from discovery to deployment, ensuring our SDKs and libraries are not just powerful, but accessible., • Own the Feedback Loop: Act as Customer Zero. Bring insights from hackathons, partner integrations, neoclouds, and open-source communities directly into the product backlog., • Technical Storytelling: Partner closely with Communications Team to translate complexity into compelling narratives — whitepapers, blog posts, and documentation that resonate with ML engineers and external audiences, where applicable, • Ecosystem Presence: Build high-trust relationships with developers and maintainers of key open-source and cloud-native projects (e.g., vLLM, LangChain, Triton)., • Growth Engineering: Define and track key product adoption metrics. Work with technical teams to build the telemetry that informs growth strategy.RequirementsEssential Skills and Experience, • 8+ years of experience blending Technical Product Management with Developer Relations, Solutions Engineering, or Growth roles in the AI/HPC space., • Technical fluency: you can read and write Python, and understand lower-level concepts (GPU memory hierarchy, kernel fusion, latency vs. throughput) well enough to debate trade-offs with architects., • A portfolio of technical writing (blogs, documentation, whitepapers) or public speaking that simplifies complex systems without dumbing them down., • Proven track record of launching developer-facing products (APIs, SDKs, CLI tools) and measuring success through adoption metrics., • BS/MS in Computer Science, Engineering, or equivalent practical experience.Ways to Stand Out, • Open source credibility: you have managed or contributed to high-growth repositories (1k+ stars) or active Discord communities in the GenAI space., • Builder DNA: you have personally built and deployed RAG pipelines or custom model serving endpoints in the last year., • Network: you bring existing relationships within the PyTorch, Hugging Face, Neocloud, or CNCF communities.Personal Attributes, • Community-native: you understand how developer trust is built and have done it before., • Self-directed: you take ownership and don't wait for permission to move fast., • Technically credible: engineers take you seriously because you've done the work., • Storyteller: you can make infrastructure feel exciting — and back it up with data. Lemurian Labs is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender identity, race, ethnicity, sexual orientation, disability status, age, or background. Compensation depends on experience and geographic location and will be narrowed during the interview process. Additional benefits include equity, company bonus opportunities, medical, dental, and vision coverage, a retirement savings plan, and supplemental wellness benefits.

Job DescriptionReady to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We're a successful, fast-growing startup building complex systems that run on custom Linux platforms in demanding, real-world environments. We're looking for a Linux Kernel Developer who's comfortable working deep in the stack — from drivers and subsystems to boot and memory management — and who wants to own kernel-level quality as our products scale. In this role, you'll design, develop, and debug kernel code and low-level Linux components that power our hardware platforms. You'll work closely with embedded software engineers, systems engineers, and hardware teams to ensure our platforms are stable, performant, and production-ready. This is a hands-on role suited for someone who enjoys solving hard problems close to the metal in a lean engineering organization.What you will do: Design, develop, and maintain Linux kernel code, including drivers, subsystems, and kernel modules Port, configure, and optimize the Linux kernel for custom hardware platforms Write and maintain device drivers for a range of interfaces (e.g., I2C, SPI, UART, USB, PCIe, Ethernet) Debug and resolve kernel panics, race conditions, memory issues, and other low-level system failures Profile and optimize kernel and driver performance, including boot time, latency, and power consumption Work with bootloaders (e.g., U-Boot) and board bring-up for new hardware revisions Collaborate with hardware engineers during board bring-up and hardware/software integration Upstream patches where appropriate, and track relevant upstream kernel changes and CVEs Contribute to kernel configuration, build systems (e.g., Yocto, Buildroot), and CI integration Document kernel architecture decisions, driver interfaces, and debugging procedures in a way that's practical and reusableWhat you bring to this role: 5+ years of experience developing in C, with deep familiarity with Linux kernel internals Proven experience writing and debugging Linux device drivers and kernel modules Solid understanding of: Kernel subsystems (memory management, scheduling, filesystems, networking) Linux boot process and bootloaders Concurrency, locking, and interrupt handling in kernel space Experience with embedded Linux build systems (Yocto, Buildroot, or similar) Comfort working directly with hardware during bring-up, debugging with tools like JTAG, oscilloscopes, or logic analyzers Strong debugging skills using tools such as gdb, ftrace, perf, kgdb, or crash dump analysis Comfortable working independently and taking ownership in a lean startup environment Bonus points for the following:Upstream Linux kernel contribution experience Experience with real-time Linux (PREEMPT_RT) or other real-time operating systems Familiarity with security-hardening practices for embedded Linux (secure boot, kernel hardening) Experience with version control systems (Git) and kernel patch workflows (mailing lists, git send-email) Exposure to multiple CPU architectures (ARM, RISC-V, x86) Experience with CI/CD pipelines for embedded or system-level software This is a full time, exempt position, based out of our Saratoga office. The total compensation packaged will be determined by various factors such as your relevant job-related knowledge, skills, and experience. We are redefining how satellites are designed, manufactured and used—so we’re looking for candidates with passion, deep knowledge and direct experience on LEO satellite component development, design and in-orbit activities. If that’s your experience – then we’ll be immediately wow-ed. E-Space is not currently able to provide employment sponsorship for candidates who do not hold work authorization for the location of this role. Why E-Space is right for you: As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry. We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space: • An opportunity to really make a difference• Sustainability at our core• Fair and honest workplace• Innovative thinking is encouraged• Competitive salaries• Continuous learning and development• Health and wellness care options• Financial solutions for the future • Optional legal services (US only)• Paid holidays• Paid time off 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 Description Due to the classified nature of our work, U.S. citizenship is required. Candidate must meet the eligibility to obtain and maintain a Security Clearance. Location: Sunnyvale, CA About Us Pacific Defense is a leading developer of advanced electronics systems for the U.S. Department of Defense and commercial customers. Our team specializes in Open Systems Architecture solutions for the non-kinetic fight, providing customers with cost-effective, modular, and rapidly reconfigurable systems in record time. We deliver sensing and effects solutions for land, air, sea, and space domains, leveraging open standards and rapid prototyping methodologies to bring innovative capabilities to the market. Pacific Defense has built an excellent reputation in the defense industry and is expanding our team to tackle new challenges and opportunities. Join us and accelerate your career! Pacific Defense’s commercial-off-the-shelf (COTS) Nerve family of systems provides a CMOSS/SOSA aligned open and modular ecosystem for multi-waveform command and control (C2) missions. We are seeking a motivated and experienced Manager of the NERVE Engineering and Delivery team. This individual will lead a product focused team in product definition, development, and delivery. The manager will ensure a consistent and industry leading user experience throughout the product. They will manage the process of validating NERVE software releases prior to delivery at the system level and in the field. They will oversee the installation and validation of firmware and software prior to customer delivery enabling customer delivery in a predictable, timely and affordable manner. They will facilitate the development of product documentation and customer training. Requirements • Demonstrated success in developing and optimizing processes that improve execution efficiency and ensure consistent on-time delivery of complex technical projects., • Proven ability to lead the transition of systems from proof of concept to full-scale production deployment, aligning technical execution with strategic objectives., • Proven expertise in software engineering including the integration of software components developed by multiple organizations., • Track record of partnering closely with manufacturing teams to ensure seamless handoff of systems, clear documentation, and production readiness., • Strong project management skills, with the ability to prioritize and manage multiple tasks., • Experience with DoD acquisition lifecycle, system requirements verification, and test program execution. Responsibilities Team Leadership: • Hire, mentor, and manage a team of engineers, fostering professional growth and ensuring high morale., • Build a culture of innovation, ownership, and accountability within the team. Technical Management: • Establish execution discipline through effective planning, milestone tracking, and proactive issue resolution to ensure timely delivery of commitments., • Provide technical guidance on integration and test development of the system and product designs., • Lead the transition of systems from prototype to production by establishing and refining processes that ensure scalability, repeatability, and production readiness. Project Execution: • Oversee multiple projects and system deliveries, ensuring they are completed on time, within scope, and with high quality., • Collaborate with cross-functional teams, including Mission Application developers, Systems Engineering, program managers, operations/manufacturing, supply chain and business development leaders to align on objectives and deliverables. Stakeholder Communication: • Provide clear and concise updates to stakeholders, including project status, risks and milestones., • Act as a liaison between the engineering team and other departments to ensure alignment and transparency. Preferred Qualifications • Experience establishing execution discipline and delivery accountability across cross-functional teams to achieve predictable, high-impact outcomes., • Experience integrating heterogeneous software applications, including those programmed in different languages, into an integrated SW/HW product., • Experience with test equipment, instrumentation, and scripting tools., • Capability to analyze test data, troubleshoot system-level issues, and drive resolution through cross-functional collaboration., • Knowledge of CMOSS, SOSA, MORA, Communication Waveforms (TSM, Silvus), • 12+ years of experience in integration and test engineering, preferably in the defense electronics or aerospace industry. Education • Associates, Bachelor's or Master’s degree in Electrical Engineering, Systems Engineering, Computer Engineering, or a related technical field. Benefits Benefits Pacific Defense provides competitive salaries and immediately vested 401K match. We provide 100% coverage options for the employee, and 75% coverage for dependents’ medical, dental, vision, and life insurance premiums, as well as a flexible spending account for incidental health care expenses. We offer paid time off and federal holidays to spend time with family, pursue outside interests, or just get some extra rest. Pacific Defense is an Equal Opportunity Employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, veteran status, or any other protected factor.

Job Description Staff Software Engineer, GPU Algorithms We are looking for a full-time Staff Software Engineer, GPU Algorithms with a strong background in ultrasound, medical image reconstruction, and programming languages such as C++ and CUDA to shape our new ultrasound imaging platform. As a Staff Software Engineer, you will work on developing and optimizing GPU algorithms and techniques related to ultrasound signal processing, image formation, and analysis. The primary focus of this software engineering role is to improve the quality, accuracy, and interpretation of ultrasound images for DeepSight's revolutionary Ultrasound system. WE OFFER GREAT BENEFITS AND PERKS TO OUR SOFTWARE ENGINEERING TEAM: • Competitive salary of $170,000-$220,000, • Stock options, • Medical, dental, and vision insurance, • 401(k) retirement plan AS A STAFF SOFTWARE ENGINEER SPECIALIZING IN GPU ALGORITHMS, YOUR RESPONSIBILITIES ARE: • Developing advanced beamforming techniques to enhance the spatial resolution and image quality of ultrasound scans., • Designing algorithms for image enhancement, noise reduction, edge detection, and speckle reduction in ultrasound images., • Developing algorithms for reconstructing 2D or 3D images from acquired ultrasound data. This involves handling data interpolation, scan conversion, and geometric transformations., • Designing algorithms to extract relevant features and perform segmentation of structures or regions of interest in ultrasound images., • Developing techniques to compensate for motion artifacts caused by patient movement or tissue motion during ultrasound scanning. This can involve image registration, motion estimation, and correction algorithms., • Exploring the application of machine learning and artificial intelligence (AI) techniques to improve ultrasound image analysis, automate diagnosis, or assist in image interpretation tasks., • Collaborating with systems and hardware engineers to optimize the integration of ultrasound imaging systems, ensuring efficient data acquisition, processing, and display., • Implement proposed solutions using C++ and CUDA programming languages. REQUIRED QUALIFICATIONS: • BS in an engineering or computer science field, • Familiarity in ultrasound physics, signal and image processing, beamforming, simulation, algorithm development, or tool development, • Strong background in object-oriented programming, software architecture, and design patterns, • Proficiency with C++ programming, • Experience in concurrent/parallel programming-multithreading, multiprocessing, GPU acceleration (CUDA, CuPy, Numba, OpenCL, Halide), • Deep familiarity with common developer tool sets, including source control, continuous integration, and automated unit testing, • Passionate about medical devices, with excellent communication and teamwork skills PREFERRED QUALIFICATIONS FOR THIS SOFTWARE ENGINEERING ROLE: • PhD in Electrical/Biomedical engineering with a dissertation topic related to ultrasound imaging or therapy, • 5+ years of experience in commercial software development, • Experience in medical imaging product development (FDA regulated), • Experience with real-time software applications, • Experience interfacing with hardware components and systems, • Knowledge of DICOM and HL7 QUALITIES WE ARE LOOKING FOR IN THIS STAFF SOFTWARE ENGINEER, GPU ALGORITHMS POSITION: • Positive - a can-do attitude that helps you rise to challenges, • Collaborative - a team player who can effectively communicate with others, • Attentive to detail - nothing gets by you, • Efficient with a knack for effectively prioritizing tasks and managing your time, • Proud of your work and real desire to do quality work, • Career-minded - looking for more than a job, • Empathetic - a mindset of producing quality products that help people JOIN OUR SOFTWARE ENGINEERING TEAM! Ready to take on the challenge? If you've got the drive to succeed and the hustle to make things happen, we're excited to have you join our team! Use our 3-minute initial application to apply now! Job Posted by ApplicantPro

Job Description About Knightscope Knightscope is a security technology company building the Nation’s First Autonomous Security Force. The Company combines autonomous machines, advanced software, and human expertise to help protect people, property, and critical infrastructure. Knightscope’s long-term mission is to make the United States of America the safest country in the world. About the Role Knightscope is seeking two Senior Audio/Video Engineers to own the real-time audio and video infrastructure across the ICM and Signals platforms. These engineers will be responsible for the full A/V stack — from WebRTC ingest and GStreamer pipeline architecture to low-latency audio processing and multi-stream rendering. Given the thin talent pool for combined WebRTC and low-latency audio expertise, both positions will be recruited simultaneously. Location Requirement: Full-time, on-site at Sunnyvale HQ (No relocation provided) Key Responsibilities • Design, build, and maintain the end-to-end real-time video pipeline: WebRTC/RTSP/RTMP ingest, hardware-accelerated transcoding, and simultaneous multi-stream rendering for up to 10 concurrent robot video feeds., • Architect and optimize GStreamer-based multi-branch pipelines for video capture, processing, recording, and cloud upload (S3) — including codec selection, pad/cap negotiation, and plugin development., • Own the full audio subsystem: real-time two-way audio, SIP/VoIP integration (pjsip/Asterisk), text-to-speech (AWS Polly), and talk-down functionality with a sub-200ms end-to-end round-trip latency target., • Implement and optimize WebRTC signaling, ICE, DTLS-SRTP, and media server components for reliable low-latency communication across distributed robot deployments., • Profile, debug, and tune A/V pipeline performance for low latency, high throughput, and resilience under concurrent multi-robot load and variable network conditions., • Build Make-a-Clip functionality enabling operators to extract, annotate, and store video segments from live and recorded feeds., • Define and maintain A/V API contracts in collaboration with ICM and Signals platform engineers; contribute to code reviews, technical documentation, and on-call runbooks., • Mentor junior engineers and contribute to architectural decisions across the A/V stack. Required Qualifications • 7–10 years of software engineering experience specializing in real-time audio and video systems in production environments., • Deep expertise in WebRTC — including signaling protocols, ICE/STUN/TURN, DTLS-SRTP, RTP/RTCP, and media server architecture (Janus, mediasoup, or equivalent)., • Strong hands-on proficiency with GStreamer at the developer level: building and debugging complex multi-branch media pipelines, working with elements, pads, caps, and custom plugins., • Proficiency in C/C++ (C++11/14/17) for performance-critical media and networking code; Python for tooling and automation., • Solid experience with SIP/VoIP protocols and stacks (pjsip, Asterisk, or equivalent) and low-latency audio processing., • Strong understanding of audio/video codecs (H.264/H.265, VP9, AAC, Opus) and streaming protocols (RTSP, RTMP, HLS, RTP)., • Experience with AWS media services (S3, Kinesis Video Streams, Polly, or equivalent) and cloud-based media pipeline architectures., • Familiarity with hardware-accelerated video processing (NVIDIA NVENC/NVDEC, V4L2, or equivalent) is a strong plus., • BS in Computer Science, Electrical Engineering, or equivalent professional experience. Compensation & Benefits • Base Salary: $155,000 – $210,000 each (DOE), • Equity: Stock options, • Benefits: Medical, dental, vision, 401(k), paid time off, • Location Requirement: Full-time, on-site at Sunnyvale HQ

Job DescriptionSalary: DOE Firmware Engineer(entry level) Are you passionate about development and project-based work? Do you like a significant challenge? We offer this and much, much more. Our teams work with cutting-edge NAND SSD controllers and storage systems We are searching for brilliant Software Developers (0-3 years experience) to join our Firmware Development Team at Bay Area site, San Jose, CA. New grad welcomed! We are looking for forward thinkers and critical players who learn, grow, and make your contributions. Firmware Developer technical skills: • Good programming capability in C, • Experience or good understanding of embedded systems, • Experience or good understanding of PCIe/NAND/SMBus/UART/SPI protocols, • BS in Computer Science, or EE About Innogrit Corporation Innogrit is transforming data storage with its advanced PCIe Gen 3 and Gen 4 SSD (Solid State Drive) Processors. By delivering unprecedented reliability, performance, and energy efficiency, SSDs based on Innogrits technology unleash the full potential for next generation SSDs using the latest NAND flash memory.

Job DescriptionAbout the Institute of Foundation ModelsWe are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. The Role We are looking for a Full Stack Developer to collaborate with Researchers and ML Engineers to produce AI applications and solutions based on next gen AI research. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.Key Responsibilities • Collaborate with development teams and product managers to implement innovative software solutions based on requirements from internal and external stakeholders., • Able to develop entire architecture, responsive design, user interaction, and user experience., • Design client-side and server-side architecture, • Able to develop entire architecture, responsive design, user interaction, and user experience., • Test software to ensure responsiveness and efficiency, • Troubleshoot, debug and upgrade software, • Create security and data protection settings, • Write technical documentation, • Work with researchers, data scientists and analysts to improve software, • Keep track of new development-related tools, frameworks, methods, and architectures., • Contribute to research publications and represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation., • Contribute to the development of intellectual property and thought leadership in the field of high-performance computing for deep learning, • Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.Academic Qualifications, • Bachelor’s Computer Science or relevant field required, • Master’s or Ph.D. in Computer Science or relevant field preferredProfessional Experience, • Proven experience as a Full Stack Developer or similar role, • Experience working with AI algorithms and the ability to develop systems accommodating AI related requirements, • Experience developing desktop and mobile applications, • Familiarity with common stacks, • Familiarity with AJAX, GitHub & Git, • Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery), • Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js/NPM), • Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design, • Excellent problem-solving and troubleshooting skills to address complex technical challenges., • Effective communication and collaboration skills to work with cross functional teams.Visa SponsorshipThis position is eligible for visa sponsorship. Benefits IncludeComprehensive medical, dental, and vision benefits Bonus401K PlanGenerous paid time off, sick leave and holidaysPaid Parental LeaveEmployee Assistance Program*Life insurance and disability

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.Senior Security Engineer, SOAR What You'll Do: CoreWeave's Detection and Response team is responsible for empowering and deploying decisive action across the enterprise to react to security threats. We also design security-related detections and engineer automations which reduce the need for human intervention. About the role: • You will help design, deploy, and maintain the Securing Orchestration, Automation, and Response (SOAR) capabilities of a multi-billion dollar platform as a service company, • Develop automations which will interact across multiple different products and services (both internal and external) to secure the enterprise., • Develop integrations and workflows to enrich decisionmaking, • Leverage AI tooling to provide system operators and security personnel with additional context for security events and alerts, • Write production quality code with unit and integration tests to create a mature internal service offering to the security organization Who You Are: • You are a detection engineer or incident responder who is also a confident developer. You have at least 4-5 years of experience in developing security tooling using Python, GoLang, or similar scripting/programming languages., • You have some prior experience leveraging modern software deployment and orchestration stacks such as ArgoCD and Kubernetes., • You have experience using source code management tools like Git Preferred: (if applicable) • Experience with Kubernetes Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! Wondering if you're a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to build tooling or automate problems and processes, • You're curious about creating your own security products, • You're an expert in one or more popular SOAR platforms The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do: The Platform & Infrastructure Engineering team sits at the core of our Data Infrastructure organization, responsible for the availability, reliability, scalability, and security of the company's data platform. We build and operate the foundational systems that underpin data ingestion, transformation, analytics, and internal AI workloads at scale — delivering with production-grade discipline across mission-critical services. Our work is guided by a commitment to automation, deep observability, and resilience, supporting stringent uptime requirements that the broader organization depends on. About the role: As a Senior Software Engineer, you will take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform. You will architect and operate highly available, multi-region systems designed to meet rigorous uptime and latency standards. Your day-to-day work will span scaling infrastructure, optimizing deployment pipelines, and strengthening our security posture — while playing a central role in building, testing, and managing scalable systems that are production-ready from day one. Who You Are: • You bring 7+ years of hands-on experience in Platform Engineering, Infrastructure Engineering, or building highly scalable distributed systems — with a strong foundation in software design, development, and algorithmic problem-solving., • Data Platform Experience: Familiarity operating data platforms or data-intensive workloads, including distributed processing and streaming frameworks such as Spark, Airflow, Kafka, or Flink., • Kubernetes & Containerization: Deep expertise in Kubernetes cluster design, day-to-day operations, and production troubleshooting across containerized service environments., • CI/CD Systems: Proven track record building and operating robust CI/CD pipelines using tools such as Argo CD and GitHub Actions., • Production Ownership: Demonstrated experience owning mission-critical systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budget management, and blameless postmortems., • Distributed Systems: Hands-on experience developing large-scale distributed systems, databases, and backend APIs., • Multi-Region Architecture: Practical experience designing and operating geo-replicated, active-active, multi-region systems — with a solid grasp of traffic routing, failover strategies, and data consistency tradeoffs., • Observability: Strong experience building and owning full-stack observability solutions, including metrics, logging, and distributed tracing using tools such as Prometheus, Grafana, and OpenTelemetry., • Infrastructure as Code: Proficiency with IaC tooling such as Helm, Terraform, or Pulumi, and experience with automated environment provisioning., • Performance & Capacity: Strong command of system performance tuning, capacity planning, and resource optimization in distributed environments., • Cloud-Native Security: Hands-on experience applying security best practices in cloud-native settings, including secrets management, network policies, and vulnerability scanning.Preferred:, • Regulated Environments: Experience working within compliance-driven environments and a working knowledge of regulatory frameworks such as GDPR, SOC 2, HIPAA, or SOX., • Internal Developer Platforms: Background in designing and building internal developer platforms or self-service infrastructure tooling that empowers engineering teams to move faster and operate independently.Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love building highly reliable systems that operate at scale, • You're curious about how to continuously improve system resilience, security, and operations, • You're an expert in diagnosing and solving complex distributed systems problemsWhy CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.What You'll Do As a Senior Software Engineer on the Identity & Access Management (IAM) team, you will play a key role in designing, building, scaling, and maintaining CoreWeave's rapidly expanding IAM platform. You will leverage your experience in distributed systems to design, extend, and harden a platform that secures our high-performance cloud infrastructure. You'll be working at the intersection of design, developer experience, and platform architecture to help scale our services to the next order of magnitude. Here are just a few of the interesting and exciting things you'll be doing: • Architect and build high-scale, low-latency distributed systems that power CoreWeave's identity, authentication and authorization services, • Design and implement customer-facing and internal APIs and backend services that underpin our IAM platform, • Optimize system performance to ensure that services remain highly available and performant under unpredictable load patterns, • Collaborate cross-functionally with stakeholders across the business, including product managers, designers and TPMs, to shape the team's strategy and roadmap, • Drive operational excellence by participating in on-call rotations and building automated tooling for monitoring, alerting, and incident response, • Demonstrate and shape best-practices in software engineering by embracing AI for development, insisting on maintainable and testable code, and participating in thorough code reviews, • Work with incredible people in a supportive, iterative, high-trust, agile environmentWho You Are, • Experience: Minimum of 5 years of professional experience developing, operating and maintaining backend services in a production environment, • Programming: Strong proficiency developing software in one or more of our preferred languages (Go, TypeScript, Python), • Distributed systems: Knowledge of microservices architecture, RESTful/gRPC API design, and asynchronous messaging patterns, • Observability: Fluency with best practices in observability (logging, metrics, dashboards, alerting), • Database design: Solid understanding of relational databases, schema design, and SQL, • Testing and quality: Strong commitment to automated testing (unit, integration, and E2E) and CI/CD pipelines, • Ownership: Demonstrated ownership of code quality, performance, and maintainability from development through production, • Security: Experience with authentication, authorization and security best practices, • Problem solving: A proven track record of debugging complex performance bottlenecks and distributed system failures in a production environment, • Communication: Excellent verbal and written communication skills, able to work effectively with both technical and non-technical team membersPreferred, • Experience with Kubernetes and a conceptual understanding of its major components., • Experience building reliable and scalable platform services that process large amounts of data., • Experience developing identity products on top of standards including OIDC, OAuth2.0, SAML, and JWT, • Experience managing cloud infrastructure (AWS, GCP, etc.), • Familiarity with Infrastructure-as-Code tools and practices Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. • You love to solve complex problems and build high-scale, low-latency distributed systems., • You're curious about how to evolve cloud platforms and scale infrastructure globally for the next generation of AI workloads., • You're an expert in one or more preferred programming languages like Go, TypeScript, or Python, and have deep technical knowledge of distributed systems.Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences, • Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings; for roles in other locations, benefits vary and are shared during the hiring process. These include: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment, • A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com. Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.