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Overview Senior 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. Optibus is looking for an exceptional Software Architect to join our R&D department. We seek an experienced professional with strong interpersonal skills, a software engineering leadership background, and production experience building Saa S 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. Responsibilities Design and review architecture decisions and the overall technology stack Serve as a technical consultant and maintain the big picture of Optibus’ architecture Remain hands-on and independently solve multidisciplinary, complex issues Collaborate with R&D leads and engineers to ensure engineering best practices and excellence Qualifications 10+ years of hands-on software engineering experience 5+ years of engineering technical leadership or management as architect, team lead, or tech lead System-wide knowledge of building and scaling a Saa S product Strong analytical skills to translate business requirements into technical design Familiarity with AWS or an equivalent cloud environment BS degree in Computer Science, Software Engineering, or related fields About Optibus Optibus 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. #J-18808-Ljbffr

A leading quantum software company in Spain is seeking an experienced LLM Engineer at senior and mid levels to design and implement advanced language models. Candidates should possess a Master’s or Ph. D. in AI and several years of hands-on experience with transformer models. The position offers a hybrid work model and a range of perks, including health insurance, performance bonuses, and a collaborative environment focused on cutting-edge technology.#J-18808-Ljbffr

Seeking a DevOps Engineer to automate infrastructure, manage cloud environments (GCP), and implement security policies.Requires Linux, Docker, Kubernetes, CI tools, and monitoring systems.

Ingeniero de nube experto en ELK para administrar, mantener y optimizar la infraestructura de observabilidad y analítica de logs.

Seeking an Engineer to deploy AI-powered systems for enterprise clients. Responsibilities include backend architecture, AI integration, API development, and deployment using Python, FastAPI, Docker, and Kubernetes.

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

ppbLLM Engineer (Mid Senior Levels) | AI / Quantum Computing Scale-up /b /ppbLocation: /b San Sebastian, Spain (Hybrid) /ppWork 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. /ppWe 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. /ph3The Role /h3ullibInnovate: /b Design new techniques to compress Large Language Models using quantum-inspired technologies. /lilibScale: /b Fine-tune and optimise Transformers for enhanced accuracy, robustness, and efficiency. /lilibArchitect: /b Evaluate GPU architectures and deploy high-performance AI solutions in cloud and HPC environments. /lilibLead: /b Act as a domain expert, mentoring junior talent and contributing to cutting-edge research. /li /ulh3Technical Requirements /h3ullibEducation: /b MSc or PhD in AI, CS, or a related quantitative field. /lilibExperience (Mid): /b 2+ years hands-on with Transformer models and deep learning. /lilibExperience (Senior): /b 5+ years, including experience with Computer Vision or broader Deep Learning. /lilibTooling: /b Expert Python, PyTorch, HuggingFace (Transformers/Accelerate), and Docker. /lilibSystems: /b Strong understanding of bGPU architectures /b and AWS cloud deployment. /lilibSoft Skills: /b Fluent English; ability to communicate complex technical concepts to global stakeholders. /li /ulh3Preferred Extras /h3ulliResearch publications in Deep Learning. /liliExperience with bInference/Deployment /b (TensorRT, vLLM). /liliBuilding and evaluating RAG systems or non-LLM DL applications (Audio/Signal Processing). /li /ulh3The Package /h3ullibSecurity: /b Indefinite contract with an equal-pay guarantee. /lilibRelocation: /b Full Work Visa sponsorship and relocation support provided. /lilibBalance: /b Hybrid working, flexible hours, and private health insurance. /lilibGrowth: /b Dedicated educational budget and a high-velocity RD culture. /li /ulh3Interested? /h3pApply directly through LinkedIn, or send your CV to /ppBy 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 /p /p #J-18808-Ljbffr

Desarrollará módulos de software para el sistema GMS utilizando Python y C++, implementando soluciones de servicios energéticos.

Buscan un Arquitecto Java con experiencia en Spring Boot y microservicios para diseñar, desarrollar y mantener aplicaciones backend.

Seeking a Platform Technical Lead to own operational engineering standards, reduce repeat incidents through automation, and improve platform stability for a global IT services provider.

El ingeniero de proyectos optimizará el diseño y la ejecución de instalaciones eléctricas y mecánicas para maximizar la eficiencia en costes y tiempos.

Ingeniero de producción para planta biotecnológica.

Te apasiona la idea de trabajar con strongtecnología puntera /strong, formar parte de un strongequipo dinámico /strong y strongasumir retos /strong de alto impacto? Si eres ingeniero/a, este puede ser el siguiente paso en tu carrera. Tu reto /strongbr/strong /ppComo ingeniero/a de pruebas, tu pr

ppEn EPowerLabs, estamos en busca de un/a Ingeniero de Proyectos para integrarse en nuestro Departamento de Testing, con el objetivo de contribuir activamente al éxito de nuestros proyectos. Es un rol clave en el equipo ya que reportará los resultados obtenidos por nuestros ingenieros de ensayos a nuestros clientes. El seleccionado se encargará de recopilar los requerimientos, preparar los programas de ensayos, hacer seguimiento, reportar el estado de los mismos y realizar los informes necesarios. Buscamos a alguien con un enfoque sistemático y ordenado; además, serán necesarias unas habilidades comunicativas eficaces. /pullibGestionar los programas de ensayos o proyectos a ejecutar: /brecoger los requerimientos de los clientes y preparar la documentación para que el equipo de ingenieros de ensayos pueda ejecutarlos correctamente. /liliRealizar el bseguimiento de los programas de ensayo y reportar a los clientes /bsobre el estado de los mismos. /lilibGeneración de los informes /b de las pruebas realizadas usando el software Concerto (AVL). /lilibRecopilar las necesidades /bdel equipo de ingenieros de ensayos para que puedan realizar los proyectos correctamente. /lilibGestionar el material y las herramientas /bnecesarias para la realización de las pruebas. /lilibApoyar al Testing Manager /ben las tareas de gestión del laboratorio. /lilibAyudar en la mejora de la metodología /bde operación de los procesos dentro de la compañía. /lilibTitulación en Ingeniería, Gestión Industrial, Eléctrica /b o campo técnico relacionado. /liliCapacidad para la bgestión de la información /b de forma sistemática y ordenada. /liliNecesaria una bcapacidad de comunicación eficaz y eficiente /bpara la gestión de los clientes. /lilibInglés: Nivel C1 necesario /b. Se valorará muy positivamente el conocimiento de otros idiomas. /lilibProactividad e inquietud /bpara buscar la mejora continua. /liliHabilidad para btrabajar en equipo /b. /lilibAtención al detalle /b y responsabilidad sobre el trabajo para asegurar la calidad en los informes. /liliSerá valorado muy positivamente el bconocimiento del software AVL Concerto. /b /liliSerá valorado positivamente el bconocimiento especifico de motores eléctricos /b, electrónica de potencia, cajas de cambio o pilas de hidrogeno. /lilibEspacio para crecer, desarrollarte /b en un proyecto innovador y con posibilidades de crecimiento en el sector de la automoción. /liliSe proporcionará un bplan de formación /b específica en el uso de herramientas propias y sobre la metodología de trabajo. /liliFormar parte y baprender de un equipo experto en automoción /b y con años de experiencia en el sector, procedente de los principales Fabricantes de Equipos Originales (OEMs) y Tier 1. /lilibVacaciones adicionales /ba lo establecido por convenio. /lilibEntorno dinámico /b y de colaboración. /li /ulpEPowerLabs 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). /ppEl 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. /ppLa 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. /ppUnirse 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? /p /p #J-18808-Ljbffr

Te apasiona la idea de trabajar con btecnología puntera /b, formar parte de un bequipo dinámico /b y basumir retos /b de alto impacto? Si eres ingeniero/a, este puede ser el siguiente paso en tu carrera. Tu reto /h3pComo ingeniero/a de pruebas, tu principal responsabilidad será garantizar que los

Multiverse 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. You will lead training pipelines, inference orchestration, and lifecycle management while mentoring engineers and driving cost-efficient, production-ready solutions. #J-18808-Ljbffr

ppEPowerlabs 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). /ppEl 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. /ppLa 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. /ppUnirse 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? /pullibPreparación de las actividades de prueba: /b configuración de los bancos de ensayo (incluido el "power analyzer") y del sistema de automatización. /lilibEjecución de las pruebas: /b siguiendo el procedimiento de EPowerlabs o del cliente. /lilibAnálisis de los datos de prueba generados /b para el análisis de fallas y la generación de informes detallados. /lilibOptimización continua /b de los procedimientos de prueba, su definición y operación. /lilibSeguimiento de hitos /b de los proyectos en curso y futuros. /lilibParticipación en discusiones técnicas /b tanto internas como con clientes. /lilibApoyo al equipo de I+D /b en las pruebas internas de desarrollo de productos. /liliGraduado/a en Ingeniería (Eléctrica, Electrónica y Telecomunicaciones) o Escuela Técnica Superior. /liliConocimientos sobre motores eléctricos e inversores. /liliInglés: fluidez necesaria. Se valorará positivamente el conocimiento de otros idiomas. /liliNo se requiere experiencia previa en funciones similares. /liliSe valorará positivamente la experiencia en operación y gestión de bancos de ensayo. /liliEspacio para crecer, desarrollarte en un proyecto innovador y con posibilidades de crecimiento en el sector de la automoción. /liliSe proporcionará un plan de formación específica en el uso de herramientas propias y sobre la metodología de trabajo. /liliFormar 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. /liliVacaciones adicionales a lo establecido por convenio. /liliEntorno dinámico y de colaboración. /li /ul /p #J-18808-Ljbffr

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

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

Acerca de la Empresa. Wavegarden es una ingeniería puntera dedicada al desarrollo, diseño, fabricación e instalación y operación de sistemas generadores de olas y lagunas para la práctica del surf. Nuestra sede central se encuentra en el País Vasco, cerca de San Sebastián, en el norte de España. Tras más de una década de I+D, la creación de numerosas tecnologías patentadas a nivel mundial y el mayor número de instalaciones en funcionamiento, Wavegarden se ha consolidado como la empresa líder mundial en el sector de las olas artificiales para parques de surf. Acerca del rol. Pensamos en incorporar a dos personas una con inglés y a otra persona con portugués. Dentro del departamento de montaje, puesta en marcha y postventa, será el/la responsable de gestionar y coordinar las puestas en marcha y el servicio técnico de postventa ofrecido a los diferentes clientes (garantía + contrato de mantenimiento) de los generadores de olas y sus periféricos, responsabilizándose de su ejecución bajo criterios de calidad, plazo y coste previamente establecido. Además, ejecutará la puesta en marcha en destino de nuevas instalaciones. Planificar y participar en el desempeño del conjunto de acciones necesarias para poder dar un servicio de mantenimiento y posventa Premium a los clientes de Wavegarden, de acuerdo con los contratos y procedimientos existentes. Ejecutar y reportar las tareas relacionadas con la puesta en marcha, asegurando que esta se realiza siguiendo los procedimientos establecidos por las diferentes ingenierías. Esta tarea se desarrolla en el lugar de la instalación siendo necesario el desplazamiento y estancia en el mismo. Formar a los clientes WG en la ejecución del plan de mantenimiento, tanto del generador de olas como de sus periféricos. Coordinado con el equipo de Calidad, identificar, reportar y colaborar en posibles soluciones de las no conformidades, siguiendo los procedimientos internos de Wavegarden. Participar en procedimientos de mejora de procesos y productos, tanto actuales como futuros, así como en la ejecución de las pruebas necesarias para su validación. Participar en los proyectos internos del departamento para la mejora del mismo. Generar instrucciones y procedimientos tanto internos como de cara al cliente, para la mejora de los mismos. ¿Qué te pedimos? Grado Formativo Superior/FPII Industrial, Ingeniería en Mecánica o similar. Experiencia de al menos 3 años en puestos similares. Imprescindible nivel alto de inglés hablado y escrito. Persona organizada, proactiva y resolutiva. Acostumbrada a trabajar en equipo y con trato directo a cliente. Disponibilidad para viajar. (30%-32%) ¿Qué te ofrecemos? Horario flexible de entrada entre las 7.30 y 9.00 am. 15-30 minutos para comer y hora de salida de las 16.15. Todos los viernes del año jornada intensiva de 7 horas. Surf empleados y empleadas (sino sabes, no te preocupes, te enseñaremos) Family days, todos los veranos abiertos las puertas a nuestras familias, ¡¡varias veces!!. Y dirás, ¿y el salario? Pues hablamos de una banda entre ."%&#€ año y $"%&=€/año.

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

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

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

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

Multiverse 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. Ideal candidates have 2+ years in transformer models (mid) or 5+ years (senior), strong Python, Py Torch, and Hugging Face skills, and fluency in English. A hybrid work setup in Donostia/San Sebastián is available. #J-18808-Ljbffr

Optiak 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. A 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. This is a deliberately unusual role. Most companies split it into three. You’ll do all three, and you should want to: Build the platform primitives that make Optiak integration‑ready out of the box. Architect integration strategies with customers as a hands‑on, technical solutions partner in pre‑sales. Deploy those integrations inside real, regulated enterprise environments as a forward deployed engineer. WHAT YOU'LL WORK ON Build the integrations platform Design and ship pre‑built connectors to major enterprise systems Salesforce, SAP, Hub Spot, Big Query, Google Drive, Slack, and the long tail of internal APIs so customers integrate in days, not quarters. Build the connection module to internal systems: ingestion, normalization, indexing, and permission‑checked retrieval across both structured and unstructured data. Own 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. Design integration primitives for MCP and other emerging interoperability standards, so Optiak is the easiest platform to plug into any business ecosystem. Make the core architectural calls: when to copy data, when to federate, and when to query in place. Architect with customers (pre‑sales) Work 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. Translate messy enterprise reality legacy ETL, SSO/SAML, data residency, governance into a concrete architecture the customer’s own engineers trust. Be hands‑on, not slideware. Prototype, demo against real systems, and earn credibility with customer technical teams. Deploy in the field (forward deployed) Embed with design partners and early enterprise customers to take integrations from architecture to production inside their environment. Navigate security reviews, compliance constraints, and the politics of getting production credentials – the work that actually decides whether an AI deployment ships. Codify what you learn into reusable connectors and patterns, and feed it straight back into the platform roadmap. WHAT WE ARE LOOKING FOR Core 8+ years in backend, platform, or systems engineering, with deep experience in enterprise integrations and complex system architecture. Genuinely hands‑on. You write production Python today and want to keep doing so; this is not a role thatdrifts into pure advisory work. Strong data‑systems background: data lakes, APIs, batch and streaming pipelines, storage, and indexing. Proven track record designing systems used by large organizations at scale – multi‑tenant, secure by default, observable, and auditable. Judgment You think in systems, not services. You’ve designed platforms meant to be extended, not shipped once. You make architectural tradeoffs across performance, security, and operational complexity under real constraints. Customer‑facing You’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). You can switch between writing code and explaining a design to a CISO in the same day. AI‑aware (bonus, but it matters here) Familiarity with retrieval architectures, RAG, context assembly, and how data and integration choices shape LLM latency, cost, and quality. Experience supporting AI products in production. #J-18808-Ljbffr

ppMultiverse 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. /ph3Job Overview /h3pWe 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. /ph3Responsibilities /h3ulliDesign and develop new techniques to compress Large Language Models based on quantum‑inspired technologies to solve challenging use cases in various domains. /liliConduct rigorous evaluations and benchmarks of model performance, identifying areas for improvement, and fine‑tuning and optimising LLMs for enhanced accuracy, robustness, and efficiency. /liliUse your expertise to assess the strengths and weaknesses of models, propose enhancements, and develop novel solutions to improve performance and efficiency. /liliAct as a domain expert in the field of LLMs, understanding domain‑specific problems and identifying opportunities for quantum AI‑driven innovation. /liliMaintain comprehensive documentation of LLM development processes, experiments, and results. /liliShare 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. /liliParticipate in code reviews and provide constructive feedback to team members. /liliStay up to date with the latest advancements and emerging trends in LLMs and recommend new tools and technologies as appropriate. /li /ulh3Required Qualifications /h3ulliMaster’s or Ph.D. in Artificial Intelligence, Computer Science, Data Science, or related fields. /liliMid: 2+ years of hands‑on experience with designing, training or fine‑tuning transformer models. /liliSenior: 5+ years of hands‑on experience with designing, training or fine‑tuning transformer and other deep learning models (e.g. computer vision). /lili2+ years of hands‑on experience using LLM and Transformer models, with excellent command of libraries such as HuggingFace Transformers, Accelerate, Datasets, etc. /liliSolid mathematical foundations and theoretical understanding of deep learning algorithms and neural networks, both training and inference. /liliExcellent problem‑solving, debugging, performance analysis, test design, and documentation skills. /liliStrong understanding with the fundamentals of GPU architectures. /liliExcellent programming skills in Python and experience with relevant libraries (PyTorch, HuggingFace, etc.). /liliExperience with cloud platforms (ideally AWS), containerization technologies (Docker) and with deploying AI solutions in a cloud environment. /liliExcellent written and verbal communication skills, with the ability to work collaboratively in a fast‑paced team environment and communicate complex ideas effectively. /liliPrevious research publications in deep learning is a plus. /liliFluent in English. /li /ulh3Preferred Qualifications /h3ulliProven experience (4+ years) delivering successful AI‑driven projects in an industrial environment. /liliSpanish language skills. /liliExperience running large‑scale workloads in high‑performance computing (HPC) clusters. /liliExperience in handling large datasets and ensuring data quality. /liliExperience with inference and deployment environments (TensorRT, vLLM, etc.). /liliExperience in accuracy evaluation of LLMs (OpenLLM Leaderboard). /liliExperience building and evaluating RAG systems. /liliExperience in building non‑LLM deep learning applications, e.g., computer vision, audio or signal processing. /liliFamiliarity with AI ethics and responsible AI practices. /liliExperience in DevOps/MLOps practices in deep learning product development. /li /ulh3Perks and Benefits /h3ulliIndefinite contract. /liliEqual pay guaranteed. /liliVariable performance bonus. /liliSigning bonus. /liliWork visa sponsorship (if applicable). /liliRelocation package (if applicable). /liliPrivate health insurance. /liliEligibility for educational budget according to internal policy. /liliHybrid opportunity. /liliFlexible working hours. /liliLanguage classes and discounted lunch options. /liliA high‑performance, collaborative environment, operating at pace on cutting‑edge technologies. /liliCareer plan. Opportunity to learn and teach. /li /ulpAs 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. /ppCome and join our multicultural team! /p /p #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

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

ph3Senior Firmware Engineer /h3 pIndustry: Semiconductor | Location: San Sebastián, Spain /p h3About the Role /h3 pWe'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. /p h3Key Responsibilities /h3 ul liDevelop and maintain firmware using Embedded C for semiconductor products. /li liDesign and implement solutions on RTOS (Real‑Time Operating System) platforms. /li liWork closely with hardware and design teams to bring new products from concept to production. /li liDebug, test, and optimise firmware for reliability, performance, and low‑level hardware control. /li liContribute to architecture decisions and mentor junior engineers. /li /ul h3What You'll Need /h3 ul liStrong hands‑on experience with Embedded C development. /li liProven expertise working with RTOS environments. /li liSolid understanding of low‑level hardware, microcontrollers, and communication protocols. /li liBackground in a high‑tech industry. /li liA problem‑solving mindset and the ability to work in a collaborative engineering team. /li /ul h3Why Join /h3 ul liBe part of a brand‑new team in a state‑of‑the‑art RD centre in San Sebastián - a rare opportunity to help shape a team from the ground up. /li liWork on innovative, next‑generation semiconductor technology. /li liGrow your career in a business that invests in RD and cutting‑edge development. /li /ul /p #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

Multiverse Computing 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. About the Role 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 optimise GPU utilisation, 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 quantisation (AWQ/FP8 )—to maximise throughput and minimise 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: Standardise 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‑dive profiling and bottleneck analysis across the full stack—from CUDA kernels and NCCL collective communications to Python‑level orchestration. Efficiency & Cost Governance: Monitor and optimise 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. Required 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 ). Specialised 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. Preferred Skills Active contributions to relevant open‑source projects (v LLM, SGLang, Sky Pilot, or Ne Mo ). Proven track record with model compression (Sparsity, Distillation, or Quantisation). Experience writing or optimising custom Triton kernels. Expertise in ML observability stacks (Prometheus, Grafana, Jaeger). 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. Working in a high paced environment, working 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

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. 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, 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. We’re committed to building a truly inclusive culture—come and join us. /p h3About the Role /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. Your 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 libTraining Infrastructure: /b Architect and maintain scalable distributed training pipelines using bNVIDIA NeMo/Nemotron/Megatron‑Bridge /b. You will optimise GPU utilisation, manage complex checkpointing strategies, and implement automated fault tolerance for long‑running jobs. /li libInference Orchestration: /b Lead the deployment of LLMs using bvLLM, TensorRT‑LLM, or SGLang /b. You will implement and tune cutting‑edge techniques—including bPagedAttention /b, continuous batching, and advanced quantisation (bAWQ/FP8 /b)—to maximise throughput and minimise bTPOT /b (Time Per Output Token). /li libWorkload Orchestration: /b Utilize bSLURM/Flyte/Ray/SkyPilot /b to manage and scale ML workloads across diverse cloud providers and on‑prem clusters, ensuring seamless resource shifting and cost‑effective execution. /li libLifecycle Management: /b Standardise model tracking, versioning, and transition workflows using bMLflow /b (or similar tool), ensuring reproducible training runs and a clear path from research to production. /li libPerformance Engineering: /b Conduct deep‑dive profiling and bottleneck analysis across the full stack—from bCUDA kernels /b and bNCCL /b collective communications to Python‑level orchestration. /li libEfficiency Cost Governance: /b Monitor and optimise cloud and on‑prem GPU expenditures through intelligent scaling policies and high‑density resource packing. /li libTechnical Leadership: /b Set the bar for engineering excellence. You will drive the roadmap, perform rigorous code reviews, and mentor junior and mid‑level engineers. /li /ul h3Required Qualifications /h3 ul libExperience: /b 5+ years in MLOps, DevOps, or Software Engineering, with a minimum of 2 years dedicated to bLLM infrastructure /b. /li libDeep Learning Ecosystem: /b Expert‑level proficiency with bPyTorch /b and the NVIDIA stack (bCUDA, NCCL, Triton /b). /li libSpecialised Tooling: /b Hands‑on experience with bNVIDIA NeMo /b (or Megatron‑Bridge) for distributed training and at least two of the following for serving: bvLLM, TensorRT‑LLM, or SGLang /b. /li libOrchestration Lifecycle: /b Proven experience with bSLURM/Flyte/Ray/SkyPilot /b for cluster management and bMLflow /b (or similar tool) for experiment and model management. /li libInfrastructure: /b Deep expertise in bKubernetes /b and K8s operators (e.g., bKubeRay /b, bMPI Operator /b, or bRun:ai /b). /li libSystems Programming: /b Mastery of Python and a functional understanding of bC++ or Rust /b for performance‑critical components. /li libNext‑Gen Hardware: /b Familiarity with high‑performance networking (bInfiniBand/RoCE /b) and NVIDIA bH200/B200 (Blackwell) /b architectures. /li /ul h3Preferred Skills /h3 ul liActive contributions to relevant open‑source projects (bvLLM, SGLang, SkyPilot, or NeMo /b). /li liProven track record with model compression (Sparsity, Distillation, or Quantisation). /li liExperience writing or optimising custom bTriton kernels /b. /li /ul pExpertise in ML observability stacks (Prometheus, Grafana, Jaeger). /p 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 liWorking in a high paced environment, working 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

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

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

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

ph3Job Description /h3pWe 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. /pulliExecute the development of power electronics systems by understanding requirements, defining technological solutions and architectures, and coordinating integration, calibration, verification, and validation activities. /liliDefine and review CAN communication architecture (inputs/outputs) and software behavior logic (e.g., fault handling, safe shutdown, error signaling). /liliEnsure compliance with automotive standards and regulations. /liliOperate within AVL’s reference project organization for product development. /liliCoordinate collaboration between customers, engineering domains, skill areas, and suppliers. /liliAct as technical lead within the power electronics system development project. /liliDocument and present development solutions and test results to stakeholders, including release documentation. /liliContribute to project planning and participate in project meetings. /liliCoordinate and execute performance analysis to optimize the power electronics system. /liliSupport project time-planning and deliverable generation. /liliMaintain documentation within the development toolchain, including system descriptions, requirements, solutions, and test cases. /liliManage integration and validation plans for the power electronics system. /liliDefine test cases and sequences according to the verification plan. /li /ulh3Profile Description /h3ulliMinimum Bachelor's degree or equivalent in Automotive Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics or related field. /liliIn‑depth knowledge of power electronics, in particular power electronics, including their functions and integration within the vehicle architecture. /liliBasic understanding of several other vehicle systems. /liliSolid understanding of in‑vehicle communication networks (e.g., CAN). /liliExperience with requirements engineering tools. /liliPrevious experience in OEM or Tier 1 projects. /liliFamiliarity with requirements management tools (DOORS, Polarion or similar). /liliKnowledge of simulation and modeling environments (Simulink, SysML). /liliFamiliarity with modern development processes and methods. /liliAbility to manage the lifecycle of systems engineering items and work‑products. /liliExcellent communication and teamwork skills. /liliFluent in English and Spanish (written and spoken). /li /ulh3We Offer /h3ulliParticipation in cutting‑edge electrification projects in the automotive sector. /liliTechnically challenging and collaborative work environment. /liliProfessional development opportunities in an international context. /liliFlexible schedule regulation. /liliTraining programs. /liliAnnual bonus for goals. /li /ulh3Contact /h3pIf so, please use our online application tool to send your application to AVL!br/Hidalgo Vilchezbr/ /p /p #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

¿Estás preparadx para un cambio y explotar tus habilidades como nunca? Sigue leyendo porque tenemos lo que buscas...Quiénes somosSomos una empresa internacional con más de 17 años de experiencia en consultoría e ingeniería informática.Con más de 3.500 Primers operando en 4 sectores principales en todo el mundo: IT, Telecomunicaciones, Energía e Infraestructuras.Nos puedes encontrar en más de 50 ciudades en todo el mundo:ESPAÑA | PORTUGAL | FRANCIA | REINO UNIDO | ITALIA | SUIZA | POLONIA | BRASILQué buscamosMás de 4 años de experiencia profesional como Cloud EngineerExperiencia sólida trabajando con Microsoft Azure y entornos cloud enterpriseConocimiento práctico de Databricks y plataformas Data LakehouseAdministración y optimización de entornos KubernetesExperiencia en automatización e Infraestructura como Código mediante TerraformCreación y mantenimiento de pipelines CI/CDCapacidad de automatización mediante Bash, Power Shell, Python o Azure CLIExperiencia administrando plataformas críticas, troubleshooting y optimización de rendimiento/costes cloudPerfil con autonomía, orientación a mejora continua y visión de plataformaMotivación para un cambioQué ofrecemosPodemos asegurarte que contamos con el mejor equipo de todo el sector. Desde el proceso de selección, tu incorporación y hasta nuestro desarrollo profesional te ofrecemos un acompañamiento y un seguimiento personalizado en todo momento. Y a todo esto súmale transparencia total en todos los pasos.CondicionesRemoto42.000 – 58.000Vas a contar con un plan de carrera, crecimiento, proyección y desarrollo profesional personalizado.Tendrás acceso a formación continua para que puedas estar al día.Podrás participar en proyectos nacionales e internacionales con opción a movilidad.No todo va a ser trabajar, por eso disfrutar de la tarjeta restaurante y seguro médico nos parece esencial.Teambuildings, afterworks y muchas más sorpresas!

pOur 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. /ppOnline education is growing, but with it, some common problems are arising across the industry: teachers and evaluators do not trust to evaluate online. /ppHow 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? /ppOur 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. /ph3How is our people? /h3pstrongThey /strongare 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. /ph3What drives they? /h3pThey'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 strongvalues - 3BDAS /strong: /ppstrongBe positive /strong: Practice positivity: look for solutions, expecting good results and success. Acknowledge bad results or experiences, learn from them, do better. /ppstrongBe collaborative /strong: Constructively explore ideas with others to search for solutions that extend one's limited vision (communicate, visualize and acknowledge). /ppstrongBuild trust /strong: By being honest and supportive, actively listening, being consistent, collaborating across teams and functions, and taking responsibility for your acts and words. /ppstrongDare to commit /strong: Decide to show up fully and consistently while seeing things to their logical or necessary conclusion. Make things work. /ppstrongAlways go beyond your limits /strong: Through self-awareness, curiosity and initiative. With determination, discipline and DOING. /ppstrongStay Agile /strong: 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. /ppstrongPosition Summary /strong /ppAre 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. /ppstrongResponsibilities /strong /ppFormulate innovative approaches to combat fraud using computer vision and machine learning.br/ppCreate new features, train new models, deploy them into production environment.br/ppContribute by extending and improving our ML frameworks and platform, creatingbrnext-generation capabilities.br/ppBuild and deploy solutions to interesting computer vision or machine learningbrproblems including document data extraction, fraud detection or biometric verification challenges. Design and implement efficient pre-processing steps around digital images or video files.br/ppWork alongside other machine learning and computer vision specialists in order to deliver on both short term objectives and long term goals.br/ppSupport and guide other engineers in learning about, applying and delivering product features driven by machine learning techniques.brstrongDesired skills /strongbr/ppSpecific training in Computer Vision and Deep Learning.br/pp3+ years of experience in Computer Vision and Deep Learning, ideally around 5. /ppExperience working in investigation or start-up environment.br/ppAWS knowledge (Lambda, Sagemaker, Rekognition...).br/ppPython development experience and good practices.br/ppKnowledge of libraries such as pytorch and opencv. /ppCompetitive salary, commission and attractive benefitsbr/ppGlobal career path for specialists and leadership /ppTailored trainings and development opportunities /ppInternational and inspirational working environment with a dynamic work culturebrstrongSocial Impact driven: /strongenabling 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?br/ppstrongObjective 1: Strengthen the quality of online training /strong.brIndicator 1: number of online training users who have validated a professional /ppdegree or certification. /ppstrongObjective 2: Improve accessibility to higher education or corporate training /strong /ppIndicator 1: Number of users with disabilities who have been able to examine themselves remotely. /ppIndicator 2: Number of users in areas far from the training centers who have been able to examine themselves remotely. /ppIndicator 3: Number of users with time restrictions who have been able to examine themselves remotely. /ppIndicator 4: Number of users with financial restrictions who have been able to examine themselves remotely. /ppstrongObjective 3: Reduce the environmental impact of trips to educational centers or corporates /strong /ppIndicator 1: C02 emissions avoided thanks to remote examinations /ppemJoin the revolution and build the future of education /em /p #J-18808-Ljbffr

Acerca de la Empresa. Wavegarden es una ingeniería puntera dedicada al desarrollo, diseño, fabricación e instalación y operación de sistemas generadores de olas y lagunas para la práctica del surf. Nuestra sede central se encuentra en el País Vasco, cerca de San Sebastián, en el norte de España. Tras más de una década de I+D, la creación de numerosas tecnologías patentadas a nivel mundial y el mayor número de instalaciones en funcionamiento, Wavegarden se ha consolidado como la empresa líder mundial en el sector de las olas artificiales para parques de surf. Acerca del rol. Pensamos en incorporar a dos personas una con inglés y a otra persona con portugués. Dentro del departamento de montaje, puesta en marcha y postventa, será el/la responsable de gestionar y coordinar las puestas en marcha y el servicio técnico de postventa ofrecido a los diferentes clientes (garantía + contrato de mantenimiento) de los generadores de olas y sus periféricos, responsabilizándose de su ejecución bajo criterios de calidad, plazo y coste previamente establecido. Además, ejecutará la puesta en marcha en destino de nuevas instalaciones. Planificar y participar en el desempeño del conjunto de acciones necesarias para poder dar un servicio de mantenimiento y posventa Premium a los clientes de Wavegarden, de acuerdo con los contratos y procedimientos existentes. Ejecutar y reportar las tareas relacionadas con la puesta en marcha, asegurando que esta se realiza siguiendo los procedimientos establecidos por las diferentes ingenierías. Esta tarea se desarrolla en el lugar de la instalación siendo necesario el desplazamiento y estancia en el mismo. Formar a los clientes WG en la ejecución del plan de mantenimiento, tanto del generador de olas como de sus periféricos. Coordinado con el equipo de Calidad, identificar, reportar y colaborar en posibles soluciones de las no conformidades, siguiendo los procedimientos internos de Wavegarden. Participar en procedimientos de mejora de procesos y productos, tanto actuales como futuros, así como en la ejecución de las pruebas necesarias para su validación. Participar en los proyectos internos del departamento para la mejora del mismo. Generar instrucciones y procedimientos tanto internos como de cara al cliente, para la mejora de los mismos. ¿Qué te pedimos? Grado Formativo Superior/FPII Industrial, Ingeniería en Mecánica o similar. Experiencia de al menos 3 años en puestos similares. Imprescindible nivel alto de inglés hablado y escrito. Persona organizada, proactiva y resolutiva. Acostumbrada a trabajar en equipo y con trato directo a cliente. Disponibilidad para viajar. (30%-32%) ¿Qué te ofrecemos? Horario flexible de entrada entre las 7.30 y 9.00 am. 15-30 minutos para comer y hora de salida de las 16.15. Todos los viernes del año jornada intensiva de 7 horas. Surf empleados y empleadas (sino sabes, no te preocupes, te enseñaremos) Family days, todos los veranos abiertos las puertas a nuestras familias, ¡¡varias veces!!. Y dirás, ¿y el salario? Pues hablamos de una banda entre ."%&#€ año y $"%&=€/año.

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

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

Se busca ingeniero/a de datos con experiencia liderando equipos, enfocado en plataformas de alta volumetría, analítica, y medios de pago.Se requiere conocimiento de Oracle OCI y capacidad de gestión técnica y entrega.

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

pMultiverse Computing is seeking a data engineer to own end-to-end data platform design and delivery. You will build scalable ETL/ELT pipelines, establish data modeling conventions, and maintain authoritative data catalogs while collaborating with ML/AI teams and clients in a hybrid work setup. /ppThe role requires 4+ years in data engineering, strong Python/SQL, and experience with lakehouse architectures and cloud platforms. /p #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

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