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ph3Team Lead System Engineer /h3pLocation: Remote from Spain (an indefinite Spanish employment contract) /ppTodos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud. /ph3Requirements /h3ulli6+ years of experience in DevOps/Infrastructure Engineering with strong exposure to AWS-based environments. /lili2+ years of experience leading, mentoring, or managing DevOps / Platform / Infrastructure Engineering teams. /liliStrong understanding of modern cloud-native architectures, Kubernetes ecosystems, Infrastructure as Code (Terraform), CI/CD practices, and platform engineering principles. /liliTechnical background in Linux-based environments, networking, security, observability, and production operations. /liliComprehensive understanding of the DevOps lifecycle, including configuration management, orchestration, CI/CD pipelines, monitoring, and security practices. /liliProven experience leading and managing a DevOps or System Engineering team (task planning, prioritization, workload distribution). /liliExperience coordinating cross-functional initiatives involving engineering teams, architects, product managers, security teams, and business stakeholders. /liliExperience running day-to-day delivery: sprint planning support, task tracking, dependency management, and delivery follow-up. /liliStrong ownership mindset: accountable for team outcomes, stability of environments, and operational continuity. /liliAbility to mentor engineers, support onboarding, and grow less-senior team members. /liliComfortable operating in a regulated or security-restricted environment, balancing delivery speed with compliance. /liliHands‑on technical background sufficient to review designs, challenge solutions, and guide discussions, without being the main technical decision‑maker. /liliClear communication skills, especially for explaining risks, trade‑offs, and progress to non-technical stakeholders. /liliAbility to identify process bottlenecks and drive incremental improvements in team efficiency and collaboration. /liliAt least B2 level of English. /li /ulh3Responsibilities /h3ulliOwn day-to-day leadership of the DevOps / System Engineering team, ensuring predictable delivery and operational stability. /liliPlan, prioritize, and coordinate team workload in alignment with architects, product owners, and stakeholders. /liliEnsure high availability, reliability, and security of cloud and on‑prem infrastructure. /liliOversee infrastructure changes implemented via Terraform, Kubernetes, and automation tools, ensuring quality and consistency. /liliGuide and review CI/CD pipelines, infrastructure designs, and operational practices without micromanaging implementation. /liliAct as the first escalation point for delivery, operational, and environment-related issues. /liliBalance delivery speed with compliance, security, and regulatory constraints. /liliSupport incident management, root‑cause analysis, and post‑incident improvements. /liliMentor team members, support onboarding, and help engineers grow technically and professionally. /liliDrive continuous improvement of DevOps processes, tooling, and collaboration patterns. /liliCommunicate risks, dependencies, and progress clearly to both technical and non‑technical stakeholders. /liliCoordinate with other teams to ensure smooth integration, handovers, and shared responsibility models. /liliMaintain documentation standards where needed, while avoiding unnecessary bureaucracy. /liliEnsure accurate time tracking, reporting, and alignment with agreed delivery expectations. /li /ulh3Why this position /h3ulliThe opportunity to work with cutting‑edge technology in a dynamic and innovative company. /liliA collaborative and supportive work environment with a focus on professional growth. /li /ul /p #J-18808-Ljbffr

En TECNALIA queremos potenciar el Área de Negocio de Procesos de Fabricación y Materiales incorporando a un/a Gestor/a en tecnologías de proyección térmica. El grupo de tecnologías de proyección térmica, englobado en el área de negocio Procesos de Fabricación y Materiales de la Unidad Industria y Movilidad de TECNALIA, tiene una experiencia de más de 30 años en este ámbito tecnológico. Se dedica al desarrollo de recubrimientos e ingeniería de superficies mediante las técnicas más avanzadas de proyección (Alta velocidad, detonación, plasma, suspensiones) para proponer soluciones competitivas y sostenibles en aplicaciones con condiciones de servicio extremas y de alto valor añadido en los sectores: aeronáutico, transporte, energía, salud y transformación metálica. El grupo es un referente nacional e internacional en estas tecnologías localizado en las instalaciones de TECNALIA en San Sebastián e Irún. Si eres una persona proactiva, autónoma, responsable y resolutiva con capacidad de adaptación a nuevos proyectos y te gusta el trabajo en equipo. Si sientes interés por la investigación aplicada y por transferir la tecnología desarrollada a las empresas... ¡Sigue leyendo...! Qué harás La persona seleccionada se integrará en este grupo de investigación para desarrollar soluciones de recubrimientos que resuelvan problemas del ecosistema industrial. Tendrá la oportunidad de trabajar en un equipo con gran proyección en un ambiente de trabajo multicultural, dinámico y enriquecedor. Desempeñará el rol de Gestor/a de Proyecto en el que se incluyen las siguientes funciones: - Dirección, seguimiento y ejecución de proyectos de investigación y desarrollo e innovación con empresas y proyectos de financiación pública nacionales e internacionales. - Preparación de propuestas de proyecto de financiación pública (a nivel nacional y europeo) para el despliegue de la estrategia. - Preparación de propuestas de proyectos de I+D+i para la industria. - Desarrollo y puesta a punto de ensayos para la caracterización de recubrimientos en condiciones representativas de uso (temperatura y desgaste). - Dirección y participación en la redacción de publicaciones científicas y en congresos de referencia nacional e internacional. - Contribución a la ejecución y cumplimiento de los objetivos económicos y científico tecnológicos del Plan de Gestión del área de negocio. Qué te ofrecemos - Oportunidades de desarrollo profesional, participar en proyectos referentes de transformación de la Industria, poder realizar una carrera profesional sólida. - Colaborar con grupos de investigación de alto nivel tanto regionales, como nacionales e internacionales, sobre todo europeos. - Integrarte en un equipo multidisciplinar referente en Europa, desarrollando actividades científico‐tecnológicas, diversas y dinámicas, alejadas de la rutina, que implican creatividad, resolución de problemas y coordinación técnica y de gestión de negocio. - Dispondrás de medidas de conciliación de tu vida personal y profesional. Requisitos: - Titulación: Ingeniería Industrial, Ingeniería Mecánica, Ingeniería de Materiales, Física, Química o afines al ámbito relacionado con las tecnologías de proyección térmica. La posesión de un Doctorado se valorará muy positivamente. - Idiomas: Dominio de Inglés hablado y escrito. Se valorará el dominio de otros idiomas. - Experiencia mínima: Se busca una persona con conocimientos y experiencia contrastada, de al menos 5 años en la gestión de proyectos de I+D+i en el ámbito de las tecnologías de superficies. La experiencia en el ámbito de las tecnologías de proyección térmica, así como en la dirección de equipos de investigación se valorará muy positivamente. - Conocimiento tecnológico de materiales e ingeniería de superficies aplicado a recubrimientos de alto valor añadido para aplicaciones en condiciones extremas (metal duro, cermets, carburos, cerámicas, slurry coatings, barreras térmicas/medioambientales, etc.). - Conocimiento en el uso de técnicas de caracterización metalográfica, microscopía electrónica, detección de fallos por técnicas no destructivas y conocimientos en caracterización mecánica-estructural de materiales. - Conocimiento en las problemáticas y soluciones de ingeniería de superficies asociadas a la resistencia a la corrosión, al desgaste, condiciones extremas de temperatura. Se valorará: - Capacidad de liderazgo, una alta proactividad, capacidad de análisis crítico y de trabajo tanto de forma autónoma como en equipo. - Capacidad para desenvolverse en un entorno multidisciplinar y con espíritu de networking comercial, trabajo en equipo y resolución de conflictos. Capacidad de interlocución con potenciales clientes y colaboradores. - Estilo de trabajo orientado a objetivos (trabajo en equipo manteniendo y promoviendo la colaboración entre las distintas áreas de la empresa, logro de objetivos de los proyectos, objetivos comerciales, eficiencia de recursos y alto rendimiento, hibridación de tecnologías.) - Experiencia en trasferencia tecnológica a la industria y de trabajo en un entorno semi-industrial o industrial - Experiencia en cualificación de materiales para la industria (aeronáutica, oil&gas, nuclear, etc.). - La experiencia en proyectos de investigación del programa marco europeo será valorada positivamente. *Valoramos positivamente las solicitudes de personas con certificado de discapacidad igual o mayor al 33%, en cumplimiento de la legislación vigente, Ley General de Derechos de las Personas con Discapacidad y de su inclusión social (LGD).

Junior Network Security Consultant (on site)Applyremote type: On-Sitelocations: Donostiatime type: Full timeposted on: Posted Todayjob requisition id: R Location: Donostia, SpainThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.Thales in Spain is a leader in technological solutions applied to Defence, Aeronautics, Security, Transportation and Space and, furthermore, is a global centre for excellence in Space, Security of Critical Infrastructures and Transportation. With a turnover of €320 million and a staff of 1,200, it exports approximately 40% of its total production principally to the Middle East, North Africa and Latin America.Thales S21sec España está seleccionando un perfil técnico con uno o dos años de experiencia en gestión y administración de Identidades para participar en un proyecto para la mejora de los procesos de gestión de usuarios y accesos.Buscamos una persona dinámica, responsable, con gran capacidad de aprendizaje contínuo y motivación de desarrollo en el ámbito tecnológico y especialmente en el ámbito de ciberseguridad.Funciones:- Gestión de usuarios; alta, baja, modificación usuarios- Gestión de usuarios en AD y otras herramientas de gestion de identidad- Gestión de accesos de VPN y otros accesos de red.- Gestion de accesos a aplicaciones, servidores, etc.- Gestión de categorizacion de clientes segun parametros de negocio- Consultoria y auditoria de accesos- Gestión de Infraestructura Host: creación de usuarios, gestión de perfiles, añadir/quitar accesos a transaccionesRequerimientos:- Conocimientos en sistemas Linux, Windows.- Conocimientos y experiencia en networking y gestión de red (FW, VPN, etc.)- Conocimientos y experiencia en entornos y herramientas de gestion de identidad (AD, LDAP, IAM, PAM, etc.)- Requiere presencialidad en Donostia.At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!br#J-18808-Ljbffr

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

ppLocation: Donostia, Spain /p pThales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billions of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure. /p pThales in Spain is a leader in technological solutions applied to Defence, Aeronautics, Security, Transportation and Space and, furthermore, is a global centre for excellence in Space, Security of Critical Infrastructures and Transportation. With a turnover of €320 million and a staff of 1,200, it exports approximately 40% of its total production principally to the Middle East, North Africa and Latin America. /p pThales S21sec España está seleccionando un perfil técnico con uno o dos años de experiencia en gestión y administración de Identidades para participar en un proyecto para la mejora de los procesos de gestión de usuarios y accesos. /p pBuscamos una persona dinámica, responsable, con gran capacidad de aprendizaje contínuo y motivación de desarrollo en el ámbito tecnológico y especialmente en el ámbito de ciberseguridad. /p h3Funciones /h3 ul liGestión de usuarios; alta, baja, modificación usuarios /li liGestión de usuarios en AD y otras herramientas de gestion de identidad /li liGestión de accesos de VPN y otros accesos de red. /li liGestión de accesos a aplicaciones, servidores, etc. /li liGestión de categorizacion de clientes segun parametros de negocio /li liConsultoria y auditoria de accesos /li liGestión de Infraestructura Host: creación de usuarios, gestión de perfiles, añadir/quitar accesos a transacciones /li /ul h3Requerimientos /h3 ul liConocimientos en sistemas Linux, Windows. /li liConocimientos y experiencia en networking y gestión de red (FW, VPN, etc.) /li liConocimientos y experiencia en entornos y herramientas de gestion de identidad (AD, LDAP, IAM, PAM, etc.) /li liRequiere presencialidad en Donostia. /li /ul /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

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

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

pThales S21sec España busca un perfil técnico con uno o dos años de experiencia en gestión y administración de identidades para mejorar procesos de usuarios y accesos en un proyecto de ciberseguridad. /ppSe requiere conocimientos de Linux/Windows, networking y herramientas IAM. La posición es presencial en Donostia y ofrece desarrollo en un entorno tecnológico avanzado de seguridad digital. /p #J-18808-Ljbffr

Idealmente, el candidato debe tener entre 2 a 3 años de experiencia en redes y ser competente con tecnologías como Cisco y Fortigate. La empresa ofrece un entorno dinámico donde puedes crecer profesionalmente y disfrutar de beneficios que facilitan la conciliación entre la vida laboral y persona

Si eres una persona entusiasta y buscas un nuevo reto profesional, Este es tu sitio! Buscamos incorporar un/a Técnico/a de Networking (Cisco, Aruba, Fortinet) para incorporarse en Gipuzkoa, Eskoriatza. Si ya dominas los fundamentos, sabes moverte por la consola de comandos y buscas un proyecto esta

ppReboot Monkey is a global leader in IT solutions, specializing in data center management that simplifies your IT operations. We provide hosting space, future‑proof upgrades, and 24/7 support through our smart or remote hands, ensuring seamless, secure, and sustainable service. Our fully remote, round‑the‑clock management frees businesses from supervision hassles, setting new benchmarks in data center solutions. We’re seeking skilled Freelance Data Center Technicians to join our growing team. If you have expertise in data center operations and want flexible work, we’d love to hear from you. /p h3Job Overview /h3 pAs a Freelance Data Center Technician, you will play a key role in delivering on‑demand support to our global data centers. Your responsibilities will include hardware installation, troubleshooting complex issues, and managing network operations, ensuring optimal performance and reliability. We’re looking for someone with deep expertise in data center equipment and software who can work independently while collaborating with remote teams. In this role, you’ll be essential to maintaining smooth, secure, and efficient data center operations, contributing to our high standards of service excellence. /p h3Key Responsibilities /h3 ul liInstall, configure, and maintain servers, networking equipment, and other hardware to ensure optimal performance and maximum uptime, facilitating seamless operations within the data center. /li liMonitor data center operations both remotely and on‑site, quickly diagnosing and resolving hardware, software, and connectivity issues to minimize downtime and maintain service reliability. /li liConfigure, manage, and troubleshoot networking devices, including Cisco and Juniper routers, switches, and firewalls, to ensure secure and efficient network operations that align with organizational standards. /li liManage and troubleshoot both Linux and Windows‑based systems, performing essential updates, patches, and security enhancements to keep systems secure and up‑to‑date. /li liDocument all installations, repairs, maintenance tasks, and system performance, providing comprehensive reports to the remote management team to ensure transparency and accountability in operations. /li liImplement and maintain security protocols to protect the integrity of the data center infrastructure, ensuring compliance with industry standards and best practices for data security. /li liCollaborate with remote IT teams, vendors, and stakeholders to enhance data center operations, actively participating in the planning and execution of projects that drive efficiency and innovation. /li /ul h3What We Offer /h3 ul liFlexibility: Work around your existing freelance or permanent job. You choose the tickets you want to pick up, with no minimum hour commitment. /li liProfessional Environment: Join a professional work environment where you can reconnect with the practical side of IT. /li liCompetitive Compensation: We offer competitive rewards for your compensation and efforts. /li liGrowth Opportunities: Work with compelling clients and seize opportunities to grow in your field. /li /ul h3Education /h3 ul liAssociate or Bachelor’s degree in Computer Science, Information Technology, or a related field is preferred but not required. /li /ul h3Experience /h3 ul li3+ years of experience in data center operations, with a strong focus on independent or freelance projects. /li /ul h3Technical Skills /h3 ul liExtensive hands‑on experience with Cisco and Juniper networking devices. /li liStrong proficiency in managing and troubleshooting Windows and Linux‑based systems. /li liSolid understanding of networking principles (TCP/IP, DNS, VPN, VLANs). /li liExperience with virtualization technologies such as VMware or Hyper‑V is a plus. /li /ul h3Certifications /h3 ul liValid certifications like Cisco CCNA/CCNP, Juniper JNCIA/JNCIS, or CompTIA Linux+ are highly desirable. /li /ul h3General Requirements /h3 ul liAbility to travel to various data center locations on short notice. /li liFlexibility to work outside regular hours, including nights and weekends if required. /li liMust have access to necessary tools and equipment to perform data center tasks. /li liStrong problem‑solving skills, with the ability to work independently and remotely. /li liExcellent communication skills for collaboration with remote teams. /li /ul /p #J-18808-Ljbffr

About the RoleAs an Internal Sales Representative Networking**, you’ll play a key role in developing and maintaining strong customer and vendor relationships across Iberia inside our Networking division. Internal Sales Specialist NetworkingApplylocations: Alcobendas, Spaintime type: Full t

Ingeniero de Redes Cisco SD-WAN, LAN, WiFi /h3h3Arquitecto de Redes Cisco SD-WAN (100% teletrabajo) /h3h3Arquitectos de redes / CISCO, F5, Palo alto /h3h3Coordinador Técnicos de Red: Networking (CISCO ACI) (H/M/X) /h3 #J-18808-Ljbffr.

TD SYNNEX is seeking an Internal Sales Specialist Networking in Alcobendas, Spain, to develop and maintain customer and vendor relationships within Iberia’s Networking division.

TD SYNNEX is seeking a network engineer to design, configure and support advanced network solutions across regional environments.You will work on core components such as switches, routers, firewalls, VPNs, IP telephony, IVR, ACD, and security DMZs, with travel as needed.Ideal candidates have 3–5 y

Ideal candidates should have at least 5 years of experience as a System Architect and a solid background in software/hardware development, with excellent networking knowledge.