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Un grupo internacional con foco en Data & AI busca un/a Data Architect Senior con perfil híbrido de Data Engineering + GenAI. El rol combina diseño y mantenimiento de arquitecturas de datos cloud a gran escala con desarrollo de soluciones de IA generativa (RAG, LLMs, NLP, agentes inteligentes). Sobre el rol Trabajarás transversalmente con equipos técnicos y de negocio, definiendo estándares de gobierno y calidad del dato, optimizando el procesamiento y llevando a producción casos de uso de GenAI. Rol de referente técnico con impacto directo en la estrategia data & AI de la organización. Lo que harás Diseñar y mantener arquitecturas de datos cloud a gran escala. Desarrollar pipelines ML end-to-end, con foco en sistemas RAG multimodales y agentes inteligentes. Diseñar y mantener DAGs con Cloud Composer o Airflow. Optimizar consultas en BigQuery (rendimiento, particiones, costes) y equivalentes en AWS (Athena, Glue). Desarrollar librerías y soluciones en Python (posible uso puntual de Java o Node.js). Definir estándares de gobierno y calidad del dato, así como buenas prácticas de desarrollo. Llevar soluciones GenAI a producción desde ideación hasta monitorización continua. Coordinar transversalmente con múltiples equipos, ofreciendo soporte técnico experto. Identificar y explorar oportunidades emergentes de GenAI y presentar propuestas de valor. ✅ Imprescindibles 5+ años en desarrollo y optimización de código Python + SQL, manejando grandes volúmenes de datos. Trayectoria probada como Data Architect o Senior Data Engineer, liderando proyectos complejos a gran escala. Dominio avanzado de al menos uno de estos clouds en producción: GCP : BigQuery, Cloud Storage, Cloud Composer. AWS : Lambda, S3, Glue, Athena. Exposición real al otro cloud (aunque sea como secundario) para poder navegar arquitecturas multicloud. Experiencia práctica y profunda implementando soluciones GenAI en producción: sistemas RAG, LLMs, NLP, agentes. Diseño y mantenimiento de DAGs con Cloud Composer o Airflow. Optimización de consultas de alto rendimiento en BigQuery (o equivalente). Español nativo + inglés fluido. Suma puntos Scala, PySpark, Snowflake y dbt para procesamiento y transformación. Data Mesh y Docker. Herramientas BI: Quicksight, Tableau, Metabase. Experiencia previa en sector bancario o servicios financieros. CI/CD en GitLab. Condiciones Modalidad: freelance vía Shakers. Duración: 12 meses con alta probabilidad de extensión. Ubicación: 100% remoto desde España. En Shakers nos ocupamos de la gestión del proyecto, la facturación y el acompañamiento durante toda la colaboración. Tú te centras en diseñar arquitecturas de datos y llevar GenAI a producción real.

Role: System Validation, Platform Qualification Location: Spain(100% Remote) Client: Infosys Sal: Market Range Permanent full-time position Requirements and number of open positions 3-5 years- 2 Positions in Open 5-10 Years- 2 Positions in Open 10+ years - 2 Positins in Open Role Overview We are looking for a highly experienced Validation resource with 10+ years of experience in Computerized System Validation (CSV) within the Life Sciences domain. The candidate will lead end-to-end validation activities for enterprise-level software systems and manage teams, stakeholders, and delivery for global programs. Key Responsibilities • Lead end-to-end validation lifecycle (Planning, Risk Assessment, Testing, Release, Periodic Review), • Drive validation strategy for enterprise programs across regions (Europe/Global), • Manage validation teams, allocate work, and ensure timely delivery, • Act as primary point of contact for client stakeholders and leadership, • Lead governance, status reporting, and escalation management, • Author and review validation deliverables (URS, FRS, IQ/OQ/PQ, RTM, Validation Report), • Ensure compliance with 21 CFR Part 11, EU Annex 11, Data Integrity (ALCOA+), • Manage quality processes (Deviation, CAPA, Change Control), • Support regulatory audits and inspection readiness, • Mentor and coach junior resources, build capability within the team, • Drive continuous improvement and standardization of validation processes Managerial Skills • Team leadership and people management, • Stakeholder and client relationship management, • Program and project management for global validation initiatives, • Risk and issue management with mitigation planning, • Resource planning and capacity management, • Governance, reporting, and executive communication, • Budget awareness and delivery management, • Cross-functional coordination across IT, QA, Business and Vendors Required Skills & Competencies • 10+ years of experience in Life Sciences CSV/CSA, • Exposure to cloud/SaaS validation, • Strong experience in enterprise systems (SAP S/4HANA, Veeva Vault, LIMS, QMS etc.), • understanding of SDLC and validation lifecycle, • Understanding on regulatory guidelines (GAMP 5, GxP, 21 CFR Part 11, EU Annex 11 etc.), • Experience in risk-based validation and CSA approach, • Experience working with US and European clients and regulated environments, • Strong documentation, communication, and leadership skills.

ppMultiverse is a well‑funded, fast‑growing deep‑tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. /p pWith 180+ employees and growing, our team is fully multicultural and international. We deliver hyper‑efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. /p pOur flagship products, CompactifAI and Singularity, address critical needs across various industries: /p ul liCompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—for example, language models—to make them significantly more efficient and portable. /li liSingularity is a quantum‑ and quantum‑inspired optimization platform used by blue‑chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. /li /ul pYou will be working alongside world‑leading experts to develop solutions that tackle real‑world challenges. We are looking for passionate individuals eager to grow in an ethics‑driven environment that values sustainability and diversity. /p pWe are committed to building a truly inclusive culture – come and join us. /p h3Job Overview /h3 pWe are seeking a skilled and experienced bManager /b with a strong technical background in data science or AI to join our team. In this role you will have the opportunity to leverage cutting‑edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross‑functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting‑edge research, and shape the future of AI technologies. /p h3As a Manager, you will /h3 ul liLead an international team of engineers to develop and deliver cutting‑edge solutions to the hardest industry problems for our top‑tier clients. /li liLead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used. /li liManage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will: ul liDevelop comprehensive project plans, including timelines, resource allocation, and risk assessments. /li liIdentify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum. /li liLead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results‑driven team environment. /li liMonitor project performance and take proactive measures to ensure the delivery of high‑quality solutions. /li liDevelop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation. /li liFoster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges. /li liCollaborate and communicate with other project managers and leaders to coordinate cross‑project initiatives and activities. /li liDemonstrate an understanding of the customer's tactical goals and effectively participate in the development and implementation of business solutions. /li liContribute to the tech strategy providing clients and technology insights. /li /ul /li /ul h3Required Minimum Qualifications /h3 ul liMaster's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. /li li2+ years of successful project management experience in leading and managing engineering teams in a technology‑driven company. /li li3+ years of hands‑on experience with data science, Generative AI, deep learning (e.g., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non‑academic environment. /li liProven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud‑based production environments. /li liProven experience with LLM models, including fine‑tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques. /li liExcellent command of Python, Docker and Git. /li liExperience with GitHub/Gitlab workflows and functionalities. /li liSolid understanding of agile development methodologies and best practices. /li liExcellent leadership skills with the ability to motivate and guide cross‑functional teams effectively. /li liExceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships. /li liSolid organizational and time‑management skills, coupled with a keen eye for detail. /li liPerfect command of Spanish and English. /li /ul h3Preferred Qualifications /h3 ul liPh.D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. /li liExperience with deep learning model compression techniques and inference optimization engines (TensorRT, vLLM, etc.). /li liExperience in the evaluation of Generative AI systems on real live data. /li /ul h3Perks Benefits /h3 ul liIndefinite contract. /li liEqual pay guaranteed. /li liVariable performance bonus. /li liSigning bonus. /li liWe offer work visa sponsorship (if applicable). /li liRelocation package (if applicable). /li liPrivate health insurance. /li liEligibility for educational budget according to internal policy. /li liHybrid opportunity. /li liFlexible working hours. /li liLanguage classes and discounted lunch options. /li liA high‑performance, collaborative environment, operating at pace on cutting‑edge technologies. /li liCareer plan. Opportunity to learn and teach. /li /ul pAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. /p /p #J-18808-Ljbffr

pMultiverse Computing in Donostia/San Sebastián is looking for a skilled Manager with a strong technical background in AI and data science. In this role, you will lead international teams, manage complex projects, and leverage cutting-edge quantum and AI technologies. /ppQualified candidates have a Master’s or Ph.D., 5+ years of industry experience, and a deep understanding of project management. This position offers an indefinite contract, private health insurance, and a hybrid working model. /p #J-18808-Ljbffr

ph3Multiverse Computing /h3 pMultiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. /p pWith 180+ employees and growing, our team is fully multicultural and international. We deliver hyper-efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. /p pOur flagship products, CompactifAI and Singularity, address critical needs across various industries: /p ul liCompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable. /li liSingularity is a quantum- and quantum-inspired optimization platform used by blue-chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. /li /ul pYou will be working alongside world-leading experts to develop solutions that tackle real-world challenges. We are looking for passionate individuals eager to grow in an ethics-driven environment that values sustainability and diversity. /p pWe are committed to building a truly inclusive culture - come and join us. /p h3Job Overview /h3 pWe are seeking a skilled and experienced bManager /b with a strong technical background in data science or AI to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of AI technologies. /p h3As a Manager, you will /h3 ul liLead an international team of engineers to develop and deliver cutting‑edge solutions to the hardest industry problems for our top‑tier clients. /li liLead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used. /li liManage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will: /li liDevelop comprehensive project plans, including timelines, resource allocation, and risk assessments. /li liIdentify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum. /li liLead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results‑driven team environment. /li liMonitor project performance and take proactive measures to ensure the delivery of high‑quality solutions. /li liDevelop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation. /li liFoster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges. /li liCollaborate and communicate with other project managers and leaders to coordinate cross‑project initiatives and activities. /li liDemonstrate an understanding of customer's tactical goals and effectively participates in the development and implementation of business solutions. /li liContribute to the tech strategy providing clients and technology insights. /li /ul h3Required Minimum Qualifications /h3 ul liMaster's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. /li li2+ years of successful project management experience in leading and managing engineering teams in a technology‑driven company. /li li3+ years of hands‑on experience with data science, Generative AI, deep learning (e.g., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non‑academic environment. /li liProven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud‑based production environments. /li liProven experience with LLM models, including fine‑tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques. /li liExcellent command of Python, Docker and Git. /li liExperience with GitHub/Gitlab workflows and functionalities. /li liSolid understanding of agile development methodologies and best practices. /li liExcellent leadership skills with the ability to motivate and guide cross‑functional teams effectively. /li liExceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships. /li liSolid organizational and time‑management skills, coupled with a keen eye for detail. /li liPerfect command of Spanish and English. /li /ul h3Preferred Qualifications /h3 ul liPh.D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. /li liExperience with deep learning model compression techniques and inference optimization engines (TensorRT, vLLM, etc.). /li liExperience in the evaluation of Generative AI systems on real live data. /li /ul h3Perks Benefits /h3 ul liIndefinite contract. /li liEqual pay guaranteed. /li liVariable performance bonus. /li liSigning bonus. /li liWe offer work visa sponsorship (if applicable). /li liRelocation package (if applicable). /li liPrivate health insurance. /li liEligibility for educational budget according to internal policy. /li liHybrid opportunity. /li liFlexible working hours. /li liLanguage classes and discounted lunch options. /li liA high‑performance, collaborative environment, operating at pace on cutting‑edge technologies. /li liCareer plan. Opportunity to learn and teach. /li /ul pbAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. /b /p /p #J-18808-Ljbffr

ppOptiak is the modular operating system for enterprise AI. We extract the platform logic companies normally scatter across applications integrations, routing, security, memory, observability, prompt enrichment, and optimization into seven standardized layers that work with any model and any third‑party tool, under one governed framework. /ppA platform like ours lives or dies on how well it connects to the customer’s world: their ERPs, CRMs, data lakes, document stores, internal APIs, and legacy systems. We’re hiring a founding architect to own that problem end to end. /ppThis is a deliberately unusual role. Most companies split it into three. You’ll do all three, and you should want to: /pulliBuild the platform primitives that make Optiak integration‑ready out of the box. /liliArchitect integration strategies with customers as a hands‑on, technical solutions partner in pre‑sales. /liliDeploy those integrations inside real, regulated enterprise environments as a forward deployed engineer. /li /ulh3WHAT YOU'LL WORK ON /h3h3Build the integrations platform /h3ulliDesign and ship pre‑built connectors to major enterprise systems Salesforce, SAP, HubSpot, BigQuery, Google Drive, Slack, and the long tail of internal APIs so customers integrate in days, not quarters. /liliBuild the connection module to internal systems: ingestion, normalization, indexing, and permission‑checked retrieval across both structured and unstructured data. /liliOwn the prompt‑enrichment data flow – the layer that decides what data a query needs, where it lives, and the most efficient way to retrieve it before a prompt reaches a model. /liliDesign integration primitives for MCP and other emerging interoperability standards, so Optiak is the easiest platform to plug into any business ecosystem. /liliMake the core architectural calls: when to copy data, when to federate, and when to query in place. /li /ulh3Architect with customers (pre‑sales) /h3ulliWork alongside the founders in pre‑sales as the technical authority on integration: scope the customer’s data estate, surface constraints early, and design the right integration approach for each deployment. /liliTranslate messy enterprise reality legacy ETL, SSO/SAML, data residency, governance into a concrete architecture the customer’s own engineers trust. /liliBe hands‑on, not slideware. Prototype, demo against real systems, and earn credibility with customer technical teams. /li /ulh3Deploy in the field (forward deployed) /h3ulliEmbed with design partners and early enterprise customers to take integrations from architecture to production inside their environment. /liliNavigate security reviews, compliance constraints, and the politics of getting production credentials – the work that actually decides whether an AI deployment ships. /liliCodify what you learn into reusable connectors and patterns, and feed it straight back into the platform roadmap. /li /ulh3WHAT WE ARE LOOKING FOR /h3h3Core /h3ulli8+ years in backend, platform, or systems engineering, with deep experience in enterprise integrations and complex system architecture. /liliGenuinely hands‑on. You write production Python today and want to keep doing so; this is not a role that drifts into pure advisory work. /liliStrong data‑systems background: data lakes, APIs, batch and streaming pipelines, storage, and indexing. /liliProven track record designing systems used by large organizations at scale – multi‑tenant, secure by default, observable, and auditable. /li /ulh3Judgment /h3ulliYou think in systems, not services. You’ve designed platforms meant to be extended, not shipped once. /liliYou make architectural tradeoffs across performance, security, and operational complexity under real constraints. /li /ulh3Customer‑facing /h3ulliYou’re comfortable in front of customers scoping, designing, and defending an architecture with their technical leaders and you’ve worked inside regulated environments (security, compliance, data residency). /liliYou can switch between writing code and explaining a design to a CISO in the same day. /li /ulh3AI‑aware (bonus, but it matters here) /h3ulliFamiliarity with retrieval architectures, RAG, context assembly, and how data and integration choices shape LLM latency, cost, and quality. /liliExperience supporting AI products in production. /li /ul /p #J-18808-Ljbffr

pAVL in Spain is seeking a Development Engineer to advance the functional development of power electronics for automotive applications. You will define, implement, and validate DCDC system behavior within the vehicle architecture and coordinate cross‑functional teams, suppliers, and customers. /ppYou will lead CAN architecture, software behavior, and verification activities, ensure compliance with automotive standards, document results, support project planning, and drive performance analyses to /p #J-18808-Ljbffr

pBaker is looking for a Software Engineer in Donostia/San Sebastián, Spain, responsible for managing client ad accounts through the Bakers platform. You'll set up campaigns, create creatives, and design landing pages while working closely with the development team to improve the platform. /ppThe ideal candidate should have a technical background, proven experience with high-budget accounts, and fluency in both Spanish and English. A competitive salary of €40,000 – €60,000, alongside 23 vacation days, is part of the package. /p #J-18808-Ljbffr

EPowerlabs es una empresa de reciente creación que realiza servicios de ensayos avanzados para la movilidad eléctrica, que se adecuan tanto para arquitecturas basadas en baterías como en hidrógeno. Aunque la empresa tiene sede en San Sebastián el grueso del equipo está ubicado en el edificio MUBIL Hub (Zubieta). Antes de solicitar este puesto, por favor, lea la siguiente información sobre esta oportunidad que encontrará a continuación. El equipo está formado por ingenieros de automoción con extensa experiencia en el sector, procedentes de los principales Fabricantes de Equipos Originales (OEMs) y Tier 1, y cuenta con el apoyo de un consejo de expertos del sector e inversores. La empresa tiene grandes perspectivas de crecimiento y buscamos activamente a personas motivadas y apasionadas del sector que nos ayuden a desarrollar proyectos para clientes de automoción de primer nivel y proyectos internos de desarrollo de productos en el campo de powertrain, la electrónica de potencia y los sistemas de gestión de baterías. Unirse a EPowerlabs significa convertirse en una parte vital de una comunidad con visión de futuro dedicada a remodelar el futuro de la energía y la movilidad. ¿Estás preparado para unirte a nosotros? • Preparación de las actividades de prueba: configuración de los bancos de ensayo (incluido el "power analyzer") y del sistema de automatización., • Ejecución de las pruebas: siguiendo el procedimiento de EPowerlabs o del cliente., • Análisis de los datos de prueba generados para el análisis de fallas y la generación de informes detallados., • Optimización continua de los procedimientos de prueba, su definición y operación., • Seguimiento de hitos de los proyectos en curso y futuros., • Participación en discusiones técnicas tanto internas como con clientes., • Apoyo al equipo de I+D en las pruebas internas de desarrollo de productos., • Graduado/a en Ingeniería (Eléctrica, Electrónica y Telecomunicaciones) o Escuela Técnica Superior., • Conocimientos sobre motores eléctricos e inversores., • Inglés: fluidez necesaria. Se valorará positivamente el conocimiento de otros idiomas., • No se requiere experiencia previa en funciones similares., • Se valorará positivamente la experiencia en operación y gestión de bancos de ensayo., • Espacio para crecer, desarrollarte en un proyecto innovador y con posibilidades de crecimiento en el sector de la automoción., • Se proporcionará un plan de formación específica en el uso de herramientas propias y sobre la metodología de trabajo., • Formar parte y aprender de un equipo experto en automoción y con años de experiencia en el sector, procedente de los principales Fabricantes de Equipos Originales (OEMs) y Tier 1., • Vacaciones adicionales a lo establecido por convenio. xcskxlj, • Entorno dinámico y de colaboración. #J-18808-Ljbffr

Senior Firmware Engineer Compruebe a continuación si tiene lo necesario para esta oportunidad y, si es así, envíe su solicitud lo antes posible. Industry: Semiconductor | Location: San Sebastián, Spain About the Role We're looking for a Senior Firmware Engineer to join a leading semiconductor business. In this role, you'll design, develop, and optimise embedded firmware for cutting‑edge hardware, working close to the silicon on performance‑critical systems. Key Responsibilities • Develop and maintain firmware using Embedded C for semiconductor products., • Design and implement solutions on RTOS (Real‑Time Operating System) platforms., • Work closely with hardware and design teams to bring new products from concept to production., • Debug, test, and optimise firmware for reliability, performance, and low‑level hardware control., • Contribute to architecture decisions and mentor junior engineers. What You'll Need • Strong hands‑on experience with Embedded C development., • Proven expertise working with RTOS environments., • Solid understanding of low‑level hardware, microcontrollers, and communication protocols., • Background in a high‑tech industry., • A problem‑solving mindset and the ability to work in a collaborative engineering team. Why Join • Be part of a brand‑new team in a state‑of‑the‑art R&D centre in San Sebastián - a rare opportunity to help shape a team from the ground up., • Work on innovative, next‑generation semiconductor technology. xcskxlj, • Grow your career in a business that invests in R&D and cutting‑edge development. #J-18808-Ljbffr

pEuropean Tech Recruit is seeking a Mid/Senior LLM Engineer in Donostia/San Sebastián for a hybrid role within a leading Quantum Software scale-up. You will design and innovate techniques to improve LLMs and fine-tune Transformers for exceptional performance. The ideal candidate should have a strong background in AI, experience with deep learning, and be proficient in relevant tools. /ppThis role offers an indefinite contract, full visa sponsorship, flexible hours, and private health insurance. /p #J-18808-Ljbffr

pMultiverse Computing is seeking a Senior MLOps Engineer to shape the Training and Inference Optimization team. You will architect infrastructure powering next-gen AI models, bridging systems programming and ML to optimize large-scale training and ultra-high-throughput serving. /ppYou will lead training pipelines, inference orchestration, and lifecycle management while mentoring engineers and driving cost-efficient, production-ready solutions. /p #J-18808-Ljbffr

ppSenior MLOps Engineer (Training Inference Optimization) /p pSan Sebastian, Spain /p pMultiverse Computing /p ul liAdvanced relocation package /li liLanguage courses /li liVisa services /li liSigning bonus /li liRelocation bonus /li /ul pMultiverse is a well‑funded, fast‑growing deep‑tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. /p pWith 180+ employees and growing, our team is fully multicultural and international. We deliver hyper‑efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. /p pOur flagship products, CompactifAI and Singularity, address critical needs across various industries: /p ul liCompactifAI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable. /li liSingularity is a quantum‑and quantum‑inspired optimization platform used by blue‑chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. /li /ul pYou’ll be working alongside world‑leading experts to develop solutions that tackle real‑world challenges. We’re looking for passionate individuals eager to grow in an ethics‑driven environment that values sustainability and diversity. /p pWe’re committed to building a truly inclusive culture—come and join us. /p h3Position /h3 pWe are seeking a bSenior MLOps Engineer /b to steer the technical vision of our Training and Inference Optimization team. In this high‑impact role, you will architect the infrastructure that powers our next‑generation AI models. You will bridge the gap between systems programming and machine learning, optimizing large‑scale LLM training via bNVIDIA NeMo /b and building ultra‑high‑throughput serving systems using bvLLM /b, bTensorRT-LLM /b, and bSGLang /b. /p pYour mission is to ensure our models are not only state‑of‑the‑art but also production‑hardened, cost‑efficient, and performant at scale. /p h3Key Responsibilities /h3 ul liTraining Infrastructure: Architect and maintain scalable distributed training pipelines using NVIDIA NeMo/Nemotron/Megatron‑Bridge. You will optimize GPU utilization, manage complex checkpointing strategies, and implement automated fault tolerance for long‑running jobs. /li liInference Orchestration: Lead the deployment of LLMs using vLLM, TensorRT-LLM, or SGLang. You will implement and tune cutting‑edge techniques—including PagedAttention, continuous batching, and advanced quantization (AWQ/FP8) to maximize throughput and minimize TPOT (Time Per Output Token). /li liWorkload Orchestration: Utilize SLURM/Flyte/Ray/SkyPilot to manage and scale ML workloads across diverse cloud providers and on‑prem clusters, ensuring seamless resource shifting and cost‑effective execution. /li liLifecycle Management: Standardize model tracking, versioning, and transition workflows using MLflow (or similar tool), ensuring reproducible training runs and a clear path from research to production. /li liPerformance Engineering: Conduct deep‑drive profiling and bottleneck analysis across the full stack — from CUDA kernels and NCCL collective communications to Python‑level orchestration. /li liEfficiency Cost Governance: Monitor and optimize cloud and on‑prem GPU expenditures through intelligent scaling policies and high‑density resource packing. /li liTechnical Leadership: Set the bar for engineering excellence. You will drive the roadmap, perform rigorous code reviews, and mentor junior and mid‑level engineers. /li /ul h3Qualifications /h3 ul liExperience: 5+ years in MLOps, DevOps, or Software Engineering, with a minimum of 2 years dedicated to LLM infrastructure. /li liDeep Learning Ecosystem: Expert‑level proficiency with PyTorch and the NVIDIA stack (CUDA, NCCL, Triton). /li liSpecialized Tooling: Hands‑on experience with NVIDIA NeMo (or Megatron‑Bridge) for distributed training and at least two of the following for serving: vLLM, TensorRT‑LLM, or SGLang. /li liOrchestration Lifecycle: Proven experience with SLURM/Flyte/Ray/SkyPilot for cluster management and MLflow (or similar tool) for experiment and model management. /li liInfrastructure: Deep expertise in Kubernetes and K8s operators (e.g., KubeRay, MPI Operator, or Run:ai). /li liSystems Programming: Mastery of Python and a functional understanding of C++ or Rust for performance‑critical components. /li liNext‑Gen Hardware: Familiarity with high‑performance networking (InfiniBand/RoCE) and NVIDIA H200/B200 (Blackwell) architectures. /li /ul h3Nice to Have /h3 ul liActive contributions to relevant open‑source projects (vLLM, SGLang, SkyPilot, or NeMo). /li liProven track record with model compression (Sparsity, Distillation, or Quantization). /li liExperience writing or optimizing custom Triton kernels. /li liExpertise in ML observability stacks (Prometheus, Grafana, Jaeger). /li /ul h3Additional Details /h3 pAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. /p /p #J-18808-Ljbffr

European Tech Recruit is seeking a Senior MLOps Engineer in San Sebastián, Spain. This hybrid role involves architecting the infrastructure for next-generation AI, optimising LLM training and deployment, and leading a high-impact team. The ideal candidate has over 5 years of experience in MLOps and is adept with tools like NVIDIA Ne Mo and Kubernetes. Join a leading deep-tech company at the forefront of innovation. #J-18808-Ljbffr

A forward-thinking deep-tech company in San Sebastián is seeking a Senior MLOps Engineer. In this critical role, you will architect and optimize infrastructure for cutting-edge AI models, ensuring they are both efficient and production-ready. You will engage with advanced tools like NVIDIA NeMo and take on responsibilities such as leading deployment strategies and enhancing GPU utilization. The ideal candidate should have over 5 years of experience in MLOps, with a strong command of the deep learning ecosystem and associated technologies.br#J-18808-Ljbffr

ppAs a bSenior Firmware Engineer /b, you will be responsible for the embedded firmware architecture, design, unit‑level, and system testing of new solid‑state components and systems. The candidate must be self‑motivated and comfortable navigating uncertainties and customer‑driven design requirements. The role requires an understanding of the protection legacy that Littelfuse has established and the ability to collaborate across the business to draw upon that strength. Join the team at Littelfuse that is developing new, self‑contained smart components and systems that deliver protection and control functionality to electrical systems. /p h3About the Job: /h3 ul liDevelop and qualify embedded designs as part of a safety‑critical component or system. /li liEstablish and execute unit‑level and system level tests and work with QA engineers to develop automated, robust test suites. /li liEstablish a safety‑critical software process that meets the requirements of UL 1988, IEC 60730, IEC 61508, and ISO 26262. /li liDevelop DFMEA for safety‑critical components and systems. /li liEngage with contract manufacturers or in‑house manufacturing to implement design, prepare design documentation, and evaluate production processes to assure components meet performance, reliability and cost targets. /li liSupport occasional travel as required to evaluate suppliers and support production ramp‑up. /li liDevelop and execute protection system components and system qualification and reliability test plans. /li liProvide regular project updates as part of the overall project planning and execution. /li /ul h3About you: /h3 ul liMS in Electrical Engineering, Computer Science or BS in Electrical Engineering, Computer Science with equivalent experience. /li li10+ years of hands‑on experience designing embedded firmware for 32‑bit/64‑bit ARM architectures, including experience with bare‑metal and RTOS based developments (Free RTOS, Zephyr). /li liExperience with communication protocols (SPI, I2C, UART, Modbus, CAN, Ethernet). /li liWorking knowledge of cryptography, algorithms and encryption for embedded devices. /li liHands‑on experience with hardware bring‑up, debugging tools (JTAG, oscilloscopes, logic analyzers). /li liExperience developing firmware for safety‑critical applications, including the ability to support product compliance testing. /li liDemonstrate an entrepreneurial spirit, willingness to experiment and be able to manage ambiguity. /li /ul pWe are an equal‑opportunity employer that takes pride in giving every associate the means and courage to make a difference – everywhere, every day. /p /p #J-18808-Ljbffr

pEuropean Tech Recruit is seeking a Senior MLOps Engineer in San Sebastián, Spain. This hybrid role involves architecting the infrastructure for next-generation AI, optimising LLM training and deployment, and leading a high-impact team. /ppThe ideal candidate has over 5 years of experience in MLOps and is adept with tools like NVIDIA NeMo and Kubernetes. Join a leading deep-tech company at the forefront of innovation. /p #J-18808-Ljbffr

pMultiverse Computing seeks an experienced LLM Engineer (Senior and Mid level) to join our team in Spain. You will design, implement, and optimize language models, integrating them into our quantum-enabled products in a collaborative, fast-paced environment. /ppIdeal candidates have 2+ years in transformer models (mid) or 5+ years (senior), strong Python, PyTorch, and HuggingFace skills, and fluency in English. A hybrid work setup in Donostia/San Sebastián is available. /p #J-18808-Ljbffr

ppbMultiverse Computing /b /p pMultiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. /p pOur mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. /p pYou’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. /p pCome and join us. /p h3Job Overview /h3 pWe are seeking a skilled and experienced bLLM Engineer (Senior and Mid level) /b with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. /p h3As a LLM Engineer, you will /h3 ul liDesign and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains. /li liConduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency. /li liUse your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. /li liAct as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation. /li liMaintain comprehensive documentation of LLM development processes, experiments, and results. /li liShare your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development. /li liParticipate in code reviews and provide constructive feedback to team members. /li liStay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. /li /ul h3Required Qualifications /h3 ul liMaster's or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. /li libMid: 2+ years /b of hands-on experience with designing, training or fine-tuning transformer models. /li libSenior: 5+ years /b of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.g. computer vision). /li li2+ years of hands-on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. /li liSolid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. /li liExcellent problem-solving, debugging, performance analysis, test design, and documentation skills. /li liStrong understanding of the fundamentals of GPU architectures. /li liExcellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). /li liExperience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment. /li liExcellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively. /li liPrevious research publications in deep learning is a plus. /li liFluent in English. /li /ul h3Preferred Qualifications /h3 ul liProven experience (4+ years) delivering successful AI-driven projects in an industrial environment. /li liSpanish language skills. /li liExperience running large-scale workloads in high-performance computing (HPC) clusters. /li liExperience in handling large datasets and ensuring data quality. /li liExperience with inference and deployment environments (TensorRT, vLLM, etc.). /li liExperience in accuracy evaluation of LLMs (OpenLLM Leaderboard). /li liExperience building and evaluating RAG systems. /li liExperience in building non-LLM deep learning applications, e.g., computer vision, audio or signal processing. /li liFamiliarity with AI ethics and responsible AI practices. /li liExperience in DevOps/MLOps practices in deep learning product development. /li /ul h3Perks and Benefits /h3 ul liIndefinite contract. /li liEqual pay guaranteed. /li liVariable performance bonus. /li liSigning bonus. /li liWe offer work visa sponsorship (if applicable). /li liRelocation package (if applicable). /li liPrivate health insurance. /li liEligibility for educational budget according to internal policy. /li liHybrid opportunity. /li liFlexible working hours. /li liLanguage classes and discounted lunch options. /li liA high-performance, collaborative environment, operating at pace on cutting-edge technologies. /li liCareer plan. Opportunity to learn and teach. /li /ul pAs an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. /p /p #J-18808-Ljbffr

ph3Overview /h3pSenior Software Architect role at Optibus, a unified software platform for public transportation planning, scheduling, and operations. The company uses AI, ML, and optimization algorithms to improve transit networks and passenger access. Optibus operates globally with a collaborative culture focused on innovation, determination, and impact. /ppOptibus is looking for an exceptional Software Architect to join our RD department. We seek an experienced professional with strong interpersonal skills, a software engineering leadership background, and production experience building SaaS products at scale. This role is hands-on and involves designing and reviewing architecture decisions, acting as a technical consultant, and addressing complex multidisciplinary challenges. /ph3Responsibilities /h3ulliDesign and review architecture decisions and the overall technology stack /liliServe as a technical consultant and maintain the big picture of Optibus’ architecture /liliRemain hands-on and independently solve multidisciplinary, complex issues /liliCollaborate with RD leads and engineers to ensure engineering best practices and excellence /li /ulh3Qualifications /h3ulli10+ years of hands-on software engineering experience /lili5+ years of engineering technical leadership or management as architect, team lead, or tech lead /liliSystem-wide knowledge of building and scaling a SaaS product /liliStrong analytical skills to translate business requirements into technical design /liliFamiliarity with AWS or an equivalent cloud environment /liliBS degree in Computer Science, Software Engineering, or related fields /li /ulh3About Optibus /h3pOptibus is an equal opportunity employer. We hire talented individuals regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, cultural background, religious beliefs, or any other characteristic protected by applicable laws. We are committed to providing an inclusive and accessible interview experience for all and will provide reasonable accommodations for candidates in need of support during the hiring process. /p /p #J-18808-Ljbffr

pVinarchy is seeking a Senior Enterprise Applications Specialist to shape, stabilise and evolve its enterprise application landscape. This role bridges business needs with scalable ERP/IBP, workflow, and integration solutions, including JDE. /ppYou will collaborate with IT Operations, IT Solutions and external partners to deliver high‑quality, secure and scalable solutions. The position requires strong analytical capability, deep integration knowledge and the ability to operate confidently in /p #J-18808-Ljbffr

Estamos contratando: Consultor/a o Ingeniero/a en Tráfico y MovilidadEn DAIR, buscamos un/a Consultor/a o Ingeniero/a en Tráfico y Movilidad para incorporarse a nuestro equipo. La persona seleccionada participará en proyectos de gran relevancia relacionados con la movilidad sostenible, la planificación del transporte, el análisis de tráfico, y la gestión de datos de movilidad tanto en el ámbito nacional como internacional.Nuestro equipo está formado por profesionales con amplia experiencia en movilidad, tráfico, ingeniería urbana, planificación y análisis geoespacial. Apostamos por un enfoque multidisciplinar que combina metodologías técnicas, análisis avanzado de datos, herramientas SIG y software especializado en modelización del transporte.Responsabilidades principales del puestoEstudios y análisis técnicos- Elaboración de estudios de movilidad y tráfico a distintas escalas: urbana, metropolitana y regional.- Evaluación del funcionamiento de la red viaria: intersecciones, corredores, PMUS, planes de tráfico, etc.- Análisis de oferta y demanda de transporte, aforos, encuestas y datos de movilidad.Modelización y simulación- Desarrollo de modelos de transporte y tráfico mediante Visum, Vissim, Aimsun u otras herramientas de simulación.- Calibración, validación y análisis de escenarios de movilidad.- Simulación de medidas para la mejora de la movilidad, la seguridad vial o la eficiencia del transporte público.Manejo y análisis de datos- Uso de herramientas de análisis de datos (Python, pandas, geopandas, etc.).- Procesamiento de información georreferenciada con SIG (ArcGIS / QGIS).- Integración y análisis de big data de movilidad (origen–destino, telefonía móvil, aforos teledetección, sensores, etc.).Planificación urbana y movilidad sostenible- Participación en proyectos relacionados con el diseño de políticas y estrategias de movilidad sostenible.- Apoyo en la elaboración de planes de transporte público, estudios de accesibilidad, movilidad ciclista y peatonal.Documentación y comunicación técnica- Redacción de informes técnicos, presentaciones y documentación para clientes y administraciones públicas.- Elaboración de memorias técnicas para licitaciones y propuestas de valor.Requisitos del perfilBuscamos una persona con motivación por la movilidad sostenible, capacidad analítica y orientación a resultados.Formación y experiencia- Titulación universitaria técnica en Ingeniería Civil, Ingeniería de Caminos, Ingeniería del Transporte, Urbanismo, Geografía, Matemáticas o áreas afines.- Experiencia mínima de 2 a 3 años en proyectos de movilidad, tráfico o transporte.Competencias técnicas- Manejo de herramientas SIG: ArcGIS, QGIS u otras plataformas geoespaciales.- Conocimientos de Python y herramientas para el tratamiento y análisis de datos.- Buena capacidad de análisis cuantitativo y cualitativo.- Excelentes habilidades de redacción técnica.- Experiencia previa trabajando con administraciones públicas.- Conocimientos o experiencia en:- Big data de movilidad.- Seguridad vial y auditorías.- Evaluación de proyectos de transporte.Entorno de trabajo y proyectosParticipación en proyectos nacionales e internacionales de movilidad, transporte y planificación urbana.Trabajo en un equipo altamente cualificado y multidisciplinar.Oportunidad para involucrarse en proyectos innovadores con tecnologías emergentes.Desarrollo profesionalPosibilidades reales de crecimiento dentro de la empresa.Formación continua en metodologías, herramientas técnicas y tendencias en movilidad.Condiciones laboralesFlexibilidad horaria y ambiente laboral colaborativo.Retribución competitiva, adaptada al perfil y la experiencia aportada.Empresa internacional con sede en Leioa (Bizkaia) y oficinas en España, Arabia Saudí, Bahréin y Egipto. Con más de 25 años de experiencia, somos especialistas en el diseño y desarrollo de infraestructuras civiles, incluyendo carreteras, autopistas, líneas ferroviarias, estudios de tráfico y movilidad, infraestructuras hidráulicas, diseño urbano, estructuras singulares y edificación. Nuestro compromiso con la excelencia técnica, la innovación y la sostenibilidad nos permite liderar proyectos de gran envergadura a nivel regional e internacional, mejorando las infraestructuras y la calidad de vida de las personas.¡Si quieres formar parte de un equipo que transforma infraestructuras y mejora la calidad de vida de las personas, envíanos tu candidatura y únete a DAIR!#J-18808-Ljbffr

Un grupo internacional con foco en Data & AI busca un/a Data Architect Senior con perfil híbrido de Data Engineering + GenAI. El rol combina diseño y mantenimiento de arquitecturas de datos cloud a gran escala con desarrollo de soluciones de IA generativa (RAG, LLMs, NLP, agentes inteligentes). 🎯 Sobre el rol Trabajarás transversalmente con equipos técnicos y de negocio, definiendo estándares de gobierno y calidad del dato, optimizando el procesamiento y llevando a producción casos de uso de GenAI. Rol de referente técnico con impacto directo en la estrategia data & AI de la organización. 🎒 Lo que harás • Diseñar y mantener arquitecturas de datos cloud a gran escala., • Desarrollar pipelines ML end-to-end, con foco en sistemas RAG multimodales y agentes inteligentes., • Diseñar y mantener DAGs con Cloud Composer o Airflow., • Optimizar consultas en BigQuery (rendimiento, particiones, costes) y equivalentes en AWS (Athena, Glue)., • Desarrollar librerías y soluciones en Python (posible uso puntual de Java o Node.js)., • Definir estándares de gobierno y calidad del dato, así como buenas prácticas de desarrollo., • Llevar soluciones GenAI a producción desde ideación hasta monitorización continua., • Coordinar transversalmente con múltiples equipos, ofreciendo soporte técnico experto., • Identificar y explorar oportunidades emergentes de GenAI y presentar propuestas de valor. ✅ Imprescindibles • 5+ años en desarrollo y optimización de código Python + SQL, manejando grandes volúmenes de datos., • Trayectoria probada como Data Architect o Senior Data Engineer, liderando proyectos complejos a gran escala., • Dominio avanzado de al menos uno de estos clouds en producción:, • GCP: BigQuery, Cloud Storage, Cloud Composer., • AWS: Lambda, S3, Glue, Athena., • Exposición real al otro cloud (aunque sea como secundario) para poder navegar arquitecturas multicloud., • Experiencia práctica y profunda implementando soluciones GenAI en producción: sistemas RAG, LLMs, NLP, agentes., • Diseño y mantenimiento de DAGs con Cloud Composer o Airflow., • Optimización de consultas de alto rendimiento en BigQuery (o equivalente)., • Español nativo + inglés fluido. 💡 Suma puntos • Scala, PySpark, Snowflake y dbt para procesamiento y transformación., • Data Mesh y Docker., • Herramientas BI: Quicksight, Tableau, Metabase., • Experiencia previa en sector bancario o servicios financieros., • CI/CD en GitLab. 💻 Condiciones • Modalidad: freelance vía Shakers., • Duración: 12 meses con alta probabilidad de extensión., • Ubicación: 100% remoto desde España. En Shakers nos ocupamos de la gestión del proyecto, la facturación y el acompañamiento durante toda la colaboración. Tú te centras en diseñar arquitecturas de datos y llevar GenAI a producción real.

Job Description We are seeking a highly motivated Development Engineer to join our team, focusing on the functional development of power electronics for automotive applications. This role is critical in defining, implementing, and validating the behavior and integration of DCDC systems within the vehicle architecture. You will work closely with cross‑functional teams, suppliers, and customers to ensure robust and compliant system development. • Execute the development of power electronics systems by understanding requirements, defining technological solutions and architectures, and coordinating integration, calibration, verification, and validation activities., • Define and review CAN communication architecture (inputs/outputs) and software behavior logic (e.g., fault handling, safe shutdown, error signaling)., • Ensure compliance with automotive standards and regulations., • Operate within AVL’s reference project organization for product development., • Coordinate collaboration between customers, engineering domains, skill areas, and suppliers., • Act as technical lead within the power electronics system development project., • Document and present development solutions and test results to stakeholders, including release documentation., • Contribute to project planning and participate in project meetings., • Coordinate and execute performance analysis to optimize the power electronics system., • Support project time-planning and deliverable generation., • Maintain documentation within the development toolchain, including system descriptions, requirements, solutions, and test cases., • Manage integration and validation plans for the power electronics system., • Define test cases and sequences according to the verification plan.Profile Description, • Minimum Bachelor's degree or equivalent in Automotive Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics or related field., • In‑depth knowledge of power electronics, in particular power electronics, including their functions and integration within the vehicle architecture., • Basic understanding of several other vehicle systems., • Solid understanding of in‑vehicle communication networks (e.g., CAN)., • Experience with requirements engineering tools., • Previous experience in OEM or Tier 1 projects., • Familiarity with requirements management tools (DOORS, Polarion or similar)., • Knowledge of simulation and modeling environments (Simulink, SysML)., • Familiarity with modern development processes and methods., • Ability to manage the lifecycle of systems engineering items and work‑products., • Excellent communication and teamwork skills., • Fluent in English and Spanish (written and spoken).We Offer, • Participation in cutting‑edge electrification projects in the automotive sector., • Technically challenging and collaborative work environment., • Professional development opportunities in an international context., • Flexible schedule regulation., • Training programs. xcskxlj, • Annual bonus for goals.Contact If so, please use our online application tool to send your application to AVL! Todos los posibles candidatos deben leer con atención los siguientes detalles de este trabajo antes de presentar una candidatura. Hidalgo Vilchez #J-18808-Ljbffr

ppOur client is on a mission to build trust in online learning. So they will enable people to access quality education 100% online and as a consequence access to new opportunities that can improve your quality of life. /p pOnline education is growing, but with it, some common problems are arising across the industry: teachers and evaluators do not trust to evaluate online. /p pHow can organizations avoid online fraud? How can organizations verify that a user was actually the one who took the online exam or actually acquired the required skills in the online course? /p pOur client was born with the aim of helping organizations improve the quality assurance of their online evaluations. They have developed a system and method of authentication and continuous monitoring of the user in an online service using multibiometry. /p h3How is our people? /h3 pThey are the ones who make this happen and the core of the company. They make this company a reality, making a global impact and building the future of education. /p h3What drives they? /h3 pThey're a growing company with happy and motivated people, working on an impactful product in a fast-paced environment. They are driven with the following values - 3BDAS: /p pbBe positive /b: Practice positivity: look for solutions, expecting good results and success. Acknowledge bad results or experiences, learn from them, do better. /p pbBe collaborative /b: Constructively explore ideas with others to search for solutions that extend one's limited vision (communicate, visualize and acknowledge). /p pbBuild trust /b: By being honest and supportive, actively listening, being consistent, collaborating across teams and functions, and taking responsibility for your acts and words. /p pbDare to commit /b: Decide to show up fully and consistently while seeing things to their logical or necessary conclusion. Make things work. /p pbAlways go beyond your limits /b: Through self-awareness, curiosity and initiative. With determination, discipline and DOING. /p pbStay Agile /b: Be able to quickly adapt or evolve in response to changing circumstances in a highly responsive way so that we deliver our service to meet and exceed customer expectations and in a timely manner. /p h3Position Summary /h3 pAre you someone who likes a challenge and wants to take responsibility? You will be part of our amazing AI team with the aim of improving and enhancing our Computer Vision algorithms or creating new ones giving answer to existing and new challenges. In addition to that, you will work with other technologies such as audio analysis or NLP. /p h3Responsibilities /h3 ul liFormulate innovative approaches to combat fraud using computer vision and machine learning. /li liCreate new features, train new models, deploy them into production environment. /li liContribute by extending and improving our ML frameworks and platform, creating next-generation capabilities. /li liBuild and deploy solutions to interesting computer vision or machine learning problems including document data extraction, fraud detection or biometric verification challenges. Design and implement efficient pre-processing steps around digital images or video files. /li liWork alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals. /li liSupport and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques. /li /ul h3Desired skills /h3 ul liSpecific training in Computer Vision and Deep Learning. /li li3+ years of experience in Computer Vision and Deep Learning, ideally around 5. /li liExperience working in investigation or start-up environment. /li liAWS knowledge (Lambda, Sagemaker, Rekognition...). /li liPython development experience and good practices. /li liKnowledge of libraries such as pytorch and opencv. /li /ul pCompetitive salary, commission and attractive benefits /p pGlobal career path for specialists and leadership /p pTailored trainings and development opportunities /p pInternational and inspirational working environment with a dynamic work culture /p pbSocial Impact driven: /b enabling access to quality education through online learning, which is linked to the Sustainable Development Goals (SDG) 4. Access to Quality Education and 13. CO2 reduction. How do we measure it? /p pbObjective 1: Strengthen the quality of online training /b.br/Indicator 1: number of online training users who have validated a professionalbr/degree or certification. /p pbObjective 2: Improve accessibility to higher education or corporate training /b /p pIndicator 1: Number of users with disabilities who have been able to examine themselves remotely. /p pIndicator 2: Number of users in areas far from the training centers who have been able to examine themselves remotely. /p pIndicator 3: Number of users with time restrictions who have been able to examine themselves remotely. /p pIndicator 4: Number of users with financial restrictions who have been able to examine themselves remotely. /p pbObjective 3: Reduce the environmental impact of trips to educational centers or corporates /b /p pIndicator 1: C02 emissions avoided thanks to remote examinations /p pJoin the revolution and build the future of education /p /p #J-18808-Ljbffr

Our client is on a mission to build trust in online learning. So they will enable people to access quality education 100% online and as a consequence access to new opportunities that can improve your quality of life. Online education is growing, but with it, some common problems are arising across the industry: teachers and evaluators do not trust to evaluate online. How can organizations avoid online fraud? How can organizations verify that a user was actually the one who took the online exam or actually acquired the required skills in the online course? Our client was born with the aim of helping organizations improve the quality assurance of their online evaluations. They have developed a system and method of authentication and continuous monitoring of the user in an online service using multibiometry. How is our people? They are the ones who make this happen and the core of the company. They make this company a reality, making a global impact and building the future of education. What drives they? They're a growing company with happy and motivated people, working on an impactful product in a fast-paced environment. They are driven with the following values - 3BDAS: Be positive: Practice positivity: look for solutions, expecting good results and success. Acknowledge bad results or experiences, learn from them, do better. Be collaborative: Constructively explore ideas with others to search for solutions that extend one's limited vision (communicate, visualize and acknowledge). Build trust: By being honest and supportive, actively listening, being consistent, collaborating across teams and functions, and taking responsibility for your acts and words. Dare to commit: Decide to show up fully and consistently while seeing things to their logical or necessary conclusion. Make things work. Always go beyond your limits: Through self-awareness, curiosity and initiative. With determination, discipline and DOING. Stay Agile: Be able to quickly adapt or evolve in response to changing circumstances in a highly responsive way so that we deliver our service to meet and exceed customer expectations and in a timely manner. Position Summary Are you someone who likes a challenge and wants to take responsibility? You will be part of our amazing AI team with the aim of improving and enhancing our Computer Vision algorithms or creating new ones giving answer to existing and new challenges. In addition to that, you will work with other technologíes such as audio analysis or NLP. Responsibilities Formulate innovative approaches to combat fraud using computer vision and machine learning. Desplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados. Create new features, train new models, deploy them into production environment. Contribute by extending and improving our ML frameworks and platform, creating next-generation capabilities. Build and deploy solutions to interesting computer vision or machine learning problems including document data extraction, fraud detection or biometric verification challenges. Design and implement efficient pre-processing steps around digital images or video files. Work alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals. Support and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques. Desired skills Specific training in Computer Vision and Deep Learning. 3+ years of experience in Computer Vision and Deep Learning, ideally around 5. Experience working in investigation or start-up environment. AWS knowledge (Lambda, Sagemaker, Rekognition...). Python development experience and good practices. Knowledge of libraries such as pytorch and opencv. Competitive salary, commission and attractive benefits Global career path for specialists and leadership Tailored trainings and development opportunities International and inspirational working environment with a dynamic work culture Social Impact driven: enabling access to quality education through online learning, which is linked to the Sustainable Development Goals (SDG) 4. Access to Quality Education and 13. CO2 reduction. How do we measure it? Objective 1: Strengthen the quality of online training. Indicator 1: number of online training users who have validated a professional degree or certification. Objective 2: Improve accessibility to higher education or corporate training Indicator 1: Number of users with disabilities who have been able to examine themselves remotely. Indicator 2: Number of users in areas far from the training centers who have been able to examine themselves remotely. Indicator 3: Number of users with time restrictions who have been able to examine themselves remotely. xcskxlj Indicator 4: Number of users with financial restrictions who have been able to examine themselves remotely. Objective 3: Reduce the environmental impact of trips to educational centers or corporates Indicator 1: C02 emissions avoided thanks to remote examinations Join the revolution and build the future of education #J-18808-Ljbffr

Jobtailor en el País Vasco busca un/a Ingeniero/a de servicios para realizar mantenimientos; instalaciones y modificaciones de sistemas asignados, con un enfoque en calidad y satisfacción del cliente. Colaborarás con el Área Comercial y registrarás las actividades en el CRM, tanto en remoto como in situ. Usted podría ser el solicitante perfecto para este trabajo. Lea toda la información asociada y asegúrese de presentar su candidatura. Se exige grado en ingeniería, 2–5 años en diagnóstico IVD, habilidades en español e inglés y disponibilidad para guardias rotativas de fin de semana. xcskxlj #J-18808-Ljbffr Hay opciones de teletrabajo/trabajo desde casa disponibles para este puesto.

A forward-thinking deep-tech company in San Sebastián is seeking a Senior MLOps Engineer. In this critical role, you will architect and optimize infrastructure for cutting-edge AI models, ensuring they are both efficient and production-ready. You will engage with advanced tools like NVIDIA Ne Mo and take on responsibilities such as leading deployment strategies and enhancing GPU utilization. The ideal candidate should have over 5 years of experience in MLOps, with a strong command of the deep learning ecosystem and associated technologies.#J-18808-Ljbffr

Schneider Electric is searching for a Digital Engineer in Spain, País Vasco. This role focuses on accelerating digital transformation and enhancing manufacturing processes with smart, data-driven solutions.The successful candidate will work alongside various teams, innovating integration of digital systems. Responsibilities include deployment of SMART tools, leading AI projects, and improving operational efficiency through data analysis and collaboration.Schneider Electric offers a competitive fixed-term contract and a flexible hybrid work model.#J-18808-Ljbffr

Multiverse is a well‑funded, fast‑growing deep‑tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper‑efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. Our flagship products, Compactif AI and Singularity, address critical needs across various industries: Compactif AI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—for example, language models—to make them significantly more efficient and portable. Singularity is a quantum‑ and quantum‑inspired optimization platform used by blue‑chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. You will be working alongside world‑leading experts to develop solutions that tackle real‑world challenges. We are looking for passionate individuals eager to grow in an ethics‑driven environment that values sustainability and diversity. We are committed to building a truly inclusive culture – come and join us. Job Overview We are seeking a skilled and experienced Manager with a strong technical background in data science or AI to join our team. In this role you will have the opportunity to leverage cutting‑edge quantum and AI technologies to lead the design, implementation, and deployment in production environments of machine learning, vision, or Generative AI systems, as well as working closely with cross‑functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting‑edge research, and shape the future of AI technologies. As a Manager, you will Lead an international team of engineers to develop and deliver cutting‑edge solutions to the hardest industry problems for our top‑tier clients. Lead the technical direction of complex projects, designing a technical solution to the problem and ensuring the quality of the approach and technology used. Manage technical projects from initiation to completion, defining the project scope, objectives, and deliverables. To achieve this, you will: Develop comprehensive project plans, including timelines, resource allocation, and risk assessments. Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum. Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results‑driven team environment. Monitor project performance and take proactive measures to ensure the delivery of high‑quality solutions. Develop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation. Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges. Collaborate and communicate with other project managers and leaders to coordinate cross‑project initiatives and activities. Demonstrate an understanding of the customer's tactical goals and effectively participate in the development and implementation of business solutions. Contribute to the tech strategy providing clients and technology insights. Required Minimum Qualifications Master's or Ph. D. in Artificial Intelligence, Computer Science, Data Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. 2+ years of successful project management experience in leading and managing engineering teams in a technology‑driven company. 3+ years of hands‑on experience with data science, Generative AI, deep learning (e.G., computer vision, LLMs, etc.), or software engineering technologies in an industrial, non‑academic environment. Proven experience in the design and implementation of ML or AI systems, including RAG and Agentic AI solutions, and deploying them in cloud‑based production environments. Proven experience with LLM models, including fine‑tuning and alignment techniques to specialize them on different tasks, or pruning and other model compression techniques. Excellent command of Python, Docker and Git. Experience with Git Hub/Gitlab workflows and functionalities. Solid understanding of agile development methodologies and best practices. Excellent leadership skills with the ability to motivate and guide cross‑functional teams effectively. Exceptional communication and interpersonal abilities to foster collaboration and maintain strong client relationships. Solid organizational and time‑management skills, coupled with a keen eye for detail. Perfect command of Spanish and English. Preferred Qualifications Ph. D. in Artificial Intelligence, Computer Science, Physics, Engineering, or related fields, with 5+ years of relevant industry experience. Experience with deep learning model compression techniques and inference optimization engines (Tensor RT, v LLM, etc.). Experience in the evaluation of Generative AI systems on real live data. Perks & Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. We offer work visa sponsorship (if applicable). Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options. A high‑performance, collaborative environment, operating at pace on cutting‑edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr

Multiverse Computing in Donostia/San Sebastián is looking for a skilled Manager with a strong technical background in AI and data science. In this role, you will lead international teams, manage complex projects, and leverage cutting-edge quantum and AI technologies. Qualified candidates have a Master’s or Ph. D., 5+ years of industry experience, and a deep understanding of project management. This position offers an indefinite contract, private health insurance, and a hybrid working model. #J-18808-Ljbffr

BATEA busca un Ingeniero/a de Proyectos de cálculo de estructuras en España, País Vasco. La persona seleccionada liderará proyectos a nivel técnico y de gestión, colaborando con un equipo de ingenieros y arquitectos. Se requiere experiencia de 3-4 años, pasión por el cálculo y un buen nivel de euskera.Ofrecemos flexibilidad laboral y la oportunidad de trabajar en proyectos con empresas de gran renombre. Únete a un equipo destacado en un ambiente de aprendizaje.#J-18808-Ljbffr

CTI in the Basque Country seeks a LIMS Software Developer to implement and maintain LabWare LIMS within the SDLC. You will build databases, user interfaces, and reports using LIMS Basic, Smalltalk, Postgres, SQL, Crystal Reports, and pgAdmin.The ideal candidate holds a Bachelor's degree in computer science or related field (or equivalent) and has about two years of industry experience. You will collaborate with IT staff, follow SOPs, and support system validation activities.#J-18808-Ljbffr

pDSJ Global in San Sebastián, Spain, is seeking a Senior Firmware Engineer to design, develop and optimise embedded firmware for cutting-edge semiconductor hardware, working close to the silicon on performance-critical systems. /ppYou will collaborate with hardware and design teams, implement RTOS-based solutions, debug and optimise firmware for reliability and efficiency, and mentor junior engineers as the team grows in an RD centre. /p #J-18808-Ljbffr

CIDETEC Energy Storage is looking for an engineer to join in the Energy Materials Unit. The position will cover the needs of the strategic projects carried out in the cell assembly Pilot Plant. Asegúrese de leer la descripción completa a continuación y, si confía en que cumple todos los requisitos, envíe su solicitud de inmediato. If you want to be part of this revolution, we are waiting for you! Our work covers the entire value chain, from battery chemistry to the final application. We design and develop cells, modules and battery packs tailored to our customers' needs, with a clear focus on technology transfer to industry. The researcher's work will be related to project management. Your contribution You will form part of a state-of-the-art research centre, geared to sustainability and the circular economy, which has helped electrify Spain's roads and is now working towards 100% future sustainability. The successful candidate will work in the Pilot Plant, implementing new processes and techniques for the manufacture of electrodes and lithium ion cells. For this purpose, he or she must have knowledge in the set-up and maintenance of machinery, and in process development, industrialization and optimization. The successful candidate will work independently according to the defined work plan. He or she will participate in the following tasks: • Manufacture of electrodes for batteries and manufacture of cells: Ink processing and knife and slot die coating, electrode stacking, ultrasonic and laser welding, electrolyte filling, • Maintenance and set-up of machinery. Design of coupling systems for new machinery. • Battery manufacturing: keeping records and traceability of materials. Maintain, and work on the quality of the systems., • Ensure the quality of the processes carried out in the Pilot Plant, development of quality protocols and check list., • Project management., • Drafting of project proposals.What we offer you, • At CIDETEC you will be able to develop your career alongside a team of top-level professionals, in a young yet committed environment, dedicated to innovation and seeking to provide practical solutions that result in a more sustainable world., • Professional development opportunities that allow you to build a solid career, working on projects that transform both industry and society., • Work with teams at the very highest level in local, national and European settings., • Work-life balance initiatives, • Privileged setting in a safe and friendly environment., • Salary according to the candidate's merits.RequirementsEducation Chemical, mechanical, industrial engineering or similar. Languages Knowledge: Knowledge The successful candidate must demonstrate knowledge of and experience in: • Process engineering: process development, industrialization and optimization. Experience in DOE and SPC., • Set-up and commissioning of new equipment: FAT/SAT. Knowledge of design and maintenance of machinery., • Lean manufacturing, 6-sigma and continuous improvement., • Manufacturing processes: electrode manufacturing, die cutting, stacking (Z-folding, winding), ultrasonic and laser welding, electrolyte filling, hot pressing., • Quality: Create quality protocols, monitor and product registration. Perform troubleshooting activities (8D, Ishikawa), risk analysis (FMEA, HAZOP) and support NCR and CAPA reports. Experience in pouch and/or prismatic cells. • Experience leading teams., • Experience in European and industrials project management and coordination.Observations A highly motivated person, with a keen interest in research and innovation, you will join a multidisciplinary team. You will be able to organise your work, meeting both the deadlines and the established objectives. Problem-solving capacity and scientific criteria. Good communication skills, both verbal and written. Having undertaken a placement abroad and more than 3 years' work experience will be considered a plus. xcskxlj *We positively value applications from people with a disability equal to or greater than 33%, in compliance with current legislation, the General Law on the Rights of Persons with Disabilities and their social inclusion (LGD). #J-18808-Ljbffr

A private Applied Research Centre is seeking a Computer Vision and Artificial Intelligence Engineer in Donostia-San Sebastián. The role involves designing and developing deep learning algorithms for security video analytics and participating in cutting-edge research in computer vision. Candidates should hold a Master's or PhD in Computer Science, possess strong programming skills in Python and C++, and be enthusiastic about ML and AI technologies. Opportunities for personal development and career progression are offered.#J-18808-Ljbffr

A private Applied Research Centre is seeking a Computer Vision and Artificial Intelligence Engineer in Donostia-San Sebastián. Envíe su solicitud a continuación después de leer todos los detalles y la información de apoyo sobre esta oportunidad de trabajo. The role involves designing and developing deep learning algorithms for security video analytics and participating in cutting-edge research in computer vision. Candidates should hold a Master's or PhD in Computer Science, possess strong programming skills in Python and C++, and be enthusiastic about ML and AI technologies. xcskxlj Opportunities for personal development and career progression are offered. #J-18808-Ljbffr

Multiverse Computing LLC is looking for a skilled Manager in San Sebastián, Spain.Es posible que un gran número de candidatos se presenten a este puesto, así que asegúrese de enviar su CV y su solicitud lo antes posible.This role requires leading a technical team to design and implement AI proje

Somos una consultora tecnológica especializada en la implantación de soluciones Microsoft. Articulados en un modelo de organización sectorial, ayudamos a las empresas a optimizar sus operaciones, conectar con sus clientes, aumentar la productividad y mejorar la toma de decisiones.Como partner global de Microsoft con foco en todas sus áreas de soluciones, contamos con un equipo de expertos en tecnología, negocio y estrategia que desarrolla proyectos tanto a nivel nacional como internacional.Nuestra misión: impulsar el crecimiento empresarial a través de soluciones de digitalización e IA adaptadas.- + 20 años de experiencia en el sector TI- + 250 clientes nacionales e internacionales- 5 oficinas en España: Madrid, Galicia, Islas Canarias, Cantabria y País VascoSoluciones tecnológicas que implantamos como Microsoft Partner:- CRM con Dynamics 365 Sales, Customer Service, Contact Center y Customer Insights- Productividad y colaboración con Microsoft 365- Inteligencia artificial con Copilot- Analítica avanzada con Power BIDescripción del puesto:Buscamos incorporar a nuestro equipo un/a Data Architect con amplia experiencia en el diseño de arquitecturas de datos en el ecosistema Microsoft. Participará en proyectos estratégicos de datos, liderando la definición de soluciones analíticas escalables y alineadas con las necesidades de negocio de nuestros clientes.Diseño y definición de arquitecturas de datos escalables, seguras y eficientes sobre Microsoft Azure.Definición de estrategias de ingesta, transformación y almacenamiento de datos en entornos batch y near real-time.Liderazgo técnico en la construcción de plataformas analíticas modernas (Data Lake, Data Warehouse, Lakehouse).Coordinación y acompañamiento de equipos técnicos multidisciplinares (Data Engineers, Analytics Engineers, BI Analysts).Participación en procesos de preventa: toma de requisitos, definición de soluciones y apoyo en demos técnicas.Asesoramiento a clientes en la evolución y optimización de sus plataformas de datos.Impulso de la adopción de nuevas capacidades del ecosistema Microsoft (IA, analítica avanzada, gobierno del dato).Diseño y desarrollo de pruebas de concepto (PoC) y entornos demo para validación de soluciones.Definición de estándares, buenas prácticas y metodologías dentro del área de Data.Participación en iniciativas de formación interna, webinars y eventos técnicos.Participación activa en proyectos gestionados bajo metodologías ágiles (Scrum / Kanban), asistiendo a ceremonias y colaborando con equipos multidisciplinares.Formación y capacidades:- Experiencia profesional superior a 5 años en proyectos de datos y analítica avanzada.- Experiencia liderando equipos técnicos y participando en procesos de preventa.- Conocimiento sólido en arquitecturas de datos sobre Azure: Data Factory, Databricks, Synapse, Microsoft Fabric, Power BI, Purview, Azure Machine Learning.- Experiencia en servicios de almacenamiento en Azure (Data Lake, Blob Storage, Azure SQL, Cosmos DB).- Conocimiento de arquitecturas IaaS, PaaS y SaaS.- Capacidad para diseñar soluciones alineadas con criterios de seguridad, gobierno y calidad del dato.- Habilidades de liderazgo, visión estratégica y comunicación con perfiles técnicos y de negocio.¿Cómo es trabajar en #ARBENTIA?Trabajarás de la mano de grandes profesionales y en proyectos de alto impacto donde tendrás un largo recorrido y aprendizaje.Día a día híbrido-flexible: sabemos que cada persona es diferente y queremos que tengas flexibilidad y posibilidad de conciliación personal, por eso tendrás horario flexible y posibilidad de teletrabajar de forma parcial.25 días de vacaciones, además de jornada intensiva los viernes y en verano (julio y agosto).Buen ambiente dentro y fuera de la oficina: somos conscientes de la importancia de tener un buen ambiente de trabajo en el equipo, por ello realizamos actividades de Team Building, afterworks… ¡y mucho más!Cultura del feedback: con las sesiones de feedback podrás compartir con tus superiores tu día a día en ARBENTIA. Ofrecemos una comunicación fluida y abierta entre todos los niveles de la empresa.Aprendizaje continuo: adquirirás nuevas habilidades que te permitirán promocionar de forma interna, además tendrás un plan de formación personalizado que impulsará tu desarrollo profesional.#J-18808-Ljbffr

pLittelfuse is seeking a Senior Firmware Engineer to own embedded firmware architecture, design, unit and system testing for safety-critical components and systems. You will work on new solid-state protection and control features and collaborate across the business to leverage Littelfuse's protection legacy. /ppRequirements include 10+ years of hands-on embedded firmware experience on ARM architectures, RTOS development, and knowledge of cryptography, with readiness to travel to support production /p #J-18808-Ljbffr

LLM Engineer (Mid & Senior Levels) | AI / Quantum Computing Scale-up ¿Tiene lo que se necesita para triunfar? La siguiente información debe ser leída atentamente por todos los candidatos. Location: San Sebastian, Spain (Hybrid) Work at the frontier of deep-tech with the EU’s leading Quantum Software scale-up. Recognised as a Global Top 100 AI company, my client is leveraging quantum-inspired algorithms to solve the most complex challenges in Finance, Energy, and Manufacturing. We are looking engineers who don't just "use" LLMs, but understand how to strip them down, compress them, and optimise them for world-class performance. The Role • Innovate: Design new techniques to compress Large Language Models using quantum-inspired technologies., • Scale: Fine-tune and optimise Transformers for enhanced accuracy, robustness, and efficiency., • Architect: Evaluate GPU architectures and deploy high-performance AI solutions in cloud and HPC environments., • Lead: Act as a domain expert, mentoring junior talent and contributing to cutting-edge research.Technical Requirements, • Education: MSc or PhD in AI, CS, or a related quantitative field., • Experience (Mid): 2+ years hands-on with Transformer models and deep learning., • Experience (Senior): 5+ years, including experience with Computer Vision or broader Deep Learning., • Tooling: Expert Python, PyTorch, HuggingFace (Transformers/Accelerate), and Docker., • Systems: Strong understanding of GPU architectures and AWS cloud deployment., • Soft Skills: Fluent English; ability to communicate complex technical concepts to global stakeholders.Preferred Extras, • Research publications in Deep Learning., • Experience with Inference/Deployment (TensorRT, vLLM)., • Building and evaluating RAG systems or non-LLM DL applications (Audio/Signal Processing).The Package, • Security: Indefinite contract with an equal-pay guarantee., • Relocation: Full Work Visa sponsorship and relocation support provided., • Balance: Hybrid working, flexible hours, and private health insurance., • Growth: Dedicated educational budget and a high-velocity R&D culture.Interested? xcskxlj Apply directly through LinkedIn, or send your CV to By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice J-18808-Ljbffr

EPowerlabs, una empresa de ensayos para la movilidad eléctrica, busca incorporar un graduado/a en Ingeniería para formar parte de su equipo de pruebas en San Sebastián. ¿Quiere presentar una candidatura? Asegúrese de que su CV está actualizado y luego lea atentamente las siguientes especificaciones del puesto antes de solicitar. Trabajarás en bancos de ensayo, automatización y análisis de datos de prueba. Se valoran conocimientos sobre motores eléctricos e inversores, inglés fluido y predisposición al aprendizaje. xcskxlj No se requiere experiencia previa, habrá plan de formación específico y oportunidades de desarrollo en proyectos de I+D en automoción. #J-18808-Ljbffr

Multiverse Computing LLC is looking for a skilled Manager in San Sebastián, Spain. This role requires leading a technical team to design and implement AI projects using innovative quantum technologies. Candidates must have a strong background in AI or data science, with 5+ years of industry experience and excellent leadership skills.Enjoy a hybrid opportunity with perks such as private health insurance and flexibility in working hours. Be part of a diverse team in a fast-growing company committed to performance and collaboration.#J-18808-Ljbffr

European Tech Recruit is seeking a Senior MLOps Engineer in San Sebastián, Spain. This hybrid role involves architecting the infrastructure for next-generation AI, optimising LLM training and deployment, and leading a high-impact team. The ideal candidate has over 5 years of experience in MLOps and is adept with tools like NVIDIA Ne Mo and Kubernetes. Join a leading deep-tech company at the forefront of innovation. #J-18808-Ljbffr

Estamos buscando: Arquitecto/a Técnico/a / Aparejador/a con puesto de trabajo en Rentería. Qué buscamos /h3 ul liFormación en Arquitectura Técnica, Aparejador/a o similar.

Senior MLOps Engineer (Training & Inference Optimization) San Sebastian, Spain Multiverse Computing Advanced relocation package Language courses Visa services Signing bonus Relocation bonus Multiverse is a well‑funded, fast‑growing deep‑tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of the 100 most promising AI companies in the world. With 180+ employees and growing, our team is fully multicultural and international. We deliver hyper‑efficient software for companies seeking a competitive edge through quantum computing and artificial intelligence. Our flagship products, Compactif AI and Singularity, address critical needs across various industries: Compactif AI is a groundbreaking compression tool for foundational AI models based on Tensor Networks. It enables the compression of large AI systems—such as language models—to make them significantly more efficient and portable. Singularity is a quantum‑and quantum‑inspired optimization platform used by blue‑chip companies to solve complex problems in finance, energy, manufacturing, and beyond. It integrates seamlessly with existing systems and delivers immediate performance gains on classical and quantum hardware. You’ll be working alongside world‑leading experts to develop solutions that tackle real‑world challenges. We’re looking for passionate individuals eager to grow in an ethics‑driven environment that values sustainability and diversity. We’re committed to building a truly inclusive culture—come and join us. Position We are seeking a Senior MLOps Engineer to steer the technical vision of our Training and Inference Optimization team. In this high‑impact role, you will architect the infrastructure that powers our next‑generation AI models. You will bridge the gap between systems programming and machine learning, optimizing large‑scale LLM training via NVIDIA Ne Mo and building ultra‑high‑throughput serving systems using v LLM, Tensor RT-LLM, and SGLang. Your mission is to ensure our models are not only state‑of‑the‑art but also production‑hardened, cost‑efficient, and performant at scale. Key Responsibilities Training Infrastructure: Architect and maintain scalable distributed training pipelines using NVIDIA Ne Mo/Nemotron/Megatron‑Bridge. You will optimize GPU utilization, manage complex checkpointing strategies, and implement automated fault tolerance for long‑running jobs. Inference Orchestration: Lead the deployment of LLMs using v LLM, Tensor RT-LLM, or SGLang. You will implement and tune cutting‑edge techniques—including Paged Attention, continuous batching, and advanced quantization (AWQ/FP8) to maximize throughput and minimize TPOT (Time Per Output Token). Workload Orchestration: Utilize SLURM/Flyte/Ray/Sky Pilot to manage and scale ML workloads across diverse cloud providers and on‑prem clusters, ensuring seamless resource shifting and cost‑effective execution. Lifecycle Management: Standardize model tracking, versioning, and transition workflows using MLflow (or similar tool), ensuring reproducible training runs and a clear path from research to production. Performance Engineering: Conduct deep‑drive profiling and bottleneck analysis across the full stack — from CUDA kernels and NCCL collective communications to Python‑level orchestration. Efficiency & Cost Governance: Monitor and optimize cloud and on‑prem GPU expenditures through intelligent scaling policies and high‑density resource packing. Technical Leadership: Set the bar for engineering excellence. You will drive the roadmap, perform rigorous code reviews, and mentor junior and mid‑level engineers. Qualifications Experience: 5+ years in MLOps, Dev Ops, or Software Engineering, with a minimum of 2 years dedicated to LLM infrastructure. Deep Learning Ecosystem: Expert‑level proficiency with Py Torch and the NVIDIA stack (CUDA, NCCL, Triton). Specialized Tooling: Hands‑on experience with NVIDIA Ne Mo (or Megatron‑Bridge) for distributed training and at least two of the following for serving: v LLM, Tensor RT‑LLM, or SGLang. Orchestration & Lifecycle: Proven experience with SLURM/Flyte/Ray/Sky Pilot for cluster management and MLflow (or similar tool) for experiment and model management. Infrastructure: Deep expertise in Kubernetes and K8s operators (e.G., Kube Ray, MPI Operator, or Run:ai). Systems Programming: Mastery of Python and a functional understanding of C++ or Rust for performance‑critical components. Next‑Gen Hardware: Familiarity with high‑performance networking (Infini Band/Ro CE) and NVIDIA H200/B200 (Blackwell) architectures. Nice to Have Active contributions to relevant open‑source projects (v LLM, SGLang, Sky Pilot, or Ne Mo). Proven track record with model compression (Sparsity, Distillation, or Quantization). Experience writing or optimizing custom Triton kernels. Expertise in ML observability stacks (Prometheus, Grafana, Jaeger). Additional Details As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr

ppComo referente de la transformación ecológica y líder mundial en Medioambiente, Veolia, empresa multinacional de servicios de mantenimiento y energía, especializada en la gestión integral de agua, residuos y energía, quiere incorporar en su delegación de Gipuzkoa a un/a Técnica/o mantenimiento Fontanera/o. /p h3¿Qué te ofrecemos si te unes a Veolia? /h3 ul liIncorporación inmediata. /li liContrato indefinido. /li liHorario de 9 a 17 de lunes a viernes. /li liJornada completa y puesto de trabajo estable. /li liSalario a convenir según valía del candidato/a. /li /ul h3Descripción del empleo /h3 ul liEl mantenimiento correctivo/preventivo de las instalaciones generales del centro. /li liAtender las averías de las instalaciones. /li liLa puesta en marcha y regulación de instalaciones térmicas, especialmente de calefacción. /li liReportar su trabajo al/la jefe de equipo. /li /ul h3Requisitos /h3 pbFormación: /b Grado superior de mantenimiento en instalaciones térmicas y fluidos, instalaciones frigoríficas y de climatización. Se valorarán también otros grados como eléctrico, fontanería. /p pbExperiencia: /b al menos 3 años demostrables en un puesto y/o empresa similar. /p pbSe valorarán conocimientos de: /b /p ul liExperiencia previa en mantenimiento en instalaciones térmicas (frío y calor). /li liCalefacción centralizada (gas, biomasa, etc.). /li liConocimientos en mantenimiento de salas de calderas. /li liSólidos conocimientos en fontanería. /li liExperiencia en instalaciones eléctricas. /li liCapacidad de resolución de problemas. /li /ul h3Información adicional /h3 pSabemos que los/as profesionales son el pilar fundamental de nuestra identidad corporativa y de nuestros resultados. Por eso, promovemos su integración desde un claro compromiso con la igualdad entre hombres y mujeres, compartiendo la cultura corporativa, nuestra práctica y experiencia. /p pComo empresa inclusiva, Veolia está comprometida con la diversidad y valora todas las solicitudes sin discriminación. /p /p #J-18808-Ljbffr

Multiverse Computing Multiverse Computing is a fast-growing deep-tech company founded in 2019 and recognized by CB Insights as one of the 100 most promising AI companies globally. We are the largest quantum software company in the EU, with 250+ employees worldwide and growing, delivering advanced solutions trusted by leading global enterprises across several critical industries, including finance, energy, manufacturing, telecom, and industrial sectors. Our mission is to enable organizations to gain a meaningful competitive edge through cutting-edge AI and quantum technologies. You’ll work alongside world-leading experts, developing solutions that deliver real-world value for global clients. We are committed to fostering an inclusive, ethics-driven culture grounded in sustainability, diversity, and collaboration — a place where ambitious, curious people take ownership, push boundaries, and grow. Come and join us. Job Overview We are seeking a skilled and experienced LLM Engineer (Senior and Mid level) with a strong background in Large Language Models to join our team. In this role you will have the opportunity to leverage cutting-edge quantum and AI technologies to lead the design, implementation, and improvement of our language models, as well as working closely with cross-functional teams to integrate these models into our products. You will have the opportunity to work on challenging projects, contribute to cutting-edge research, and shape the future of LLM and NLP technologies. As a LLM Engineer, you will Design and develop new techniques to compress Large Language Models based on quantum-inspired technologies to solve challenging use cases in various domains. Conduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine-tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency. Use your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. Act as a domain expert in the field of LLMs, understanding domain-specific problems and identifying opportunities for quantum AI-driven innovation. Maintain comprehensive documentation of LLM development processes, experiments, and results. Share your knowledge and expertise with the team to foster a culture of continuous learning, guiding junior members of the team in their technical growth and helping them develop their skills in LLM development. Participate in code reviews and provide constructive feedback to team members. Stay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. Required Qualifications Master's or Ph. D. in Artificial Intelligence, Computer Science, Data Science, or related fields. Mid: 2+ years of hands-on experience with designing, training or fine-tuning transformer models. Senior: 5+ years of hands-on experience with designing, training or fine-tuning transformer and other deep learning models (e.G. computer vision). 2+ years of hands-on experience using LLM and Transformer models, with excellent command of libraries such as Hugging Face Transformers, Accelerate, Datasets, etc. Solid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. Excellent problem-solving, debugging, performance analysis, test design, and documentation skills. Strong understanding of the fundamentals of GPU architectures. Excellent programming skills in Python and experience with relevant libraries (Py Torch, Hugging Face, etc.). Experience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment. Excellent written and verbal communication skills, with the ability to work collaboratively in a fast-paced team environment and communicate complex ideas effectively. Previous research publications in deep learning is a plus. Fluent in English. Preferred Qualifications Proven experience (4+ years) delivering successful AI-driven projects in an industrial environment. Spanish language skills. Experience running large-scale workloads in high-performance computing (HPC) clusters. Experience in handling large datasets and ensuring data quality. Experience with inference and deployment environments (Tensor RT, v LLM, etc.). Experience in accuracy evaluation of LLMs (Open LLM Leaderboard). Experience building and evaluating RAG systems. Experience in building non-LLM deep learning applications, e.G., computer vision, audio or signal processing. Familiarity with AI ethics and responsible AI practices. Experience in Dev Ops/MLOps practices in deep learning product development. Perks and Benefits Indefinite contract. Equal pay guaranteed. Variable performance bonus. Signing bonus. We offer work visa sponsorship (if applicable). Relocation package (if applicable). Private health insurance. Eligibility for educational budget according to internal policy. Hybrid opportunity. Flexible working hours. Language classes and discounted lunch options. A high-performance, collaborative environment, operating at pace on cutting-edge technologies. Career plan. Opportunity to learn and teach. As an equal opportunity employer, Multiverse Computing is committed to building an inclusive workplace. The company welcomes people from all different backgrounds, including age, citizenship, ethnic and racial origins, gender identities, individuals with disabilities, marital status, religions and ideologies, and sexual orientations to apply. #J-18808-Ljbffr