works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software int
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Work on product and tech initiatives finding the right mix between effort, quality and user value - Optimize and improve the AS24 technology
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
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Design and implement full‑stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment.
Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge d
Focus: Operating, maintaining, and continuously improving productive AI and ML systems in cloud environments - As part of our AI Operations
We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platfo
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
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Baut und betreibt hochlastfähige Backend-Services für ML-Infrastruktur, inklusive Model Serving (auch LLMs) und Datenpipelines für Produktteams.
SYSTEM DESIGN & ARCHITECTURE MANAGEMENT As Data & AI Platform Architect, you’ll lead the architecture, design, and implementation of scalabl
Baut skalierbare Python-APIs und Services, die KI-Ausgaben in Hostaway-SaaS-Funktionen einbinden, und betreibt sie mit Monitoring in Produktion.
& THE TEAM Join our dynamic Logistics Network Planning team, where you’ll be at the forefront of shaping the future of Zalando’s logistics operations.
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This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
Nebius is hiring a Forward Deployed Engineer to work alongside Physical AI customers, shape our core infrastructure products, and test ideas
Develop the search engine behind ABOUT YOU, covering query understanding, entity resolution, and semantic vector search in Node.js/TypeScrip
Baut und betreibt AWS-Infrastruktur, die Agenten und LLM-Services sicher, beobachtbar und kostenkontrolliert von Prototyp in den Produktivbetrieb bringt.
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Role highlights: - Senior MLOps Engineer, ISR - Location: Berlin, Germany - Department: ISR Analytics - Reports to: VP of ISR Analytics - Em
We are looking for a Senior Software Engineer to join the AI Platform Team at Smartly!
Shape the future of enterprise AI by designing the infrastructure that powers large-scale machine learning and generative AI solutions.
NVIDIA is seeking a Senior MLOps Engineer to join our DSX Enablement team, collaborating closely with strategic customers to implement and e
Warum dieser Job gelistet ist
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works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software into practical adoption motions for priority workloads. The person should bring strong breadth across open and sovereign models, Nemotron, NVIDIA Agent Toolkit, NeMo, NIM, secure agent runtimes, evaluation harnesses, guardrails, confidential computing, cybersecurity, legal/commercial guidance, and AI Factory reference architectures What you ll be doing: - Execute the EMEA Agentic AI Platform GTM plan across open models, Nemotron adoption, regulated software hardening, confidential computing, cybersecurity, and secure AI deployment. - Position NVIDIA Agent Toolkit, NeMo, Nemotron, NIM, Dynamo, CUDA-X libraries, evaluation harnesses, guardrails, DGX OS, and AI Enterprise as one adoption path. - Refine the sales toolkit across technical, commercial, legal, support, and terms-and-conditions tracks so field teams and partners can confidently position agentic AI workloads. - Work through AI-native, enterprise, ISV, cloud provider, OEM, GSI, developer relations, solution architecture, product, legal, security, and field teams to identify priority workloads and unblock adoption. - Act as the EMEA point person for open and sovereign model field guidance, including licensing, EU AI Actsecurity, model provenance, deployment, support, and export considerations. - Refine reference architectures and enablement for enterprise, sovereign, air-gapped, regulated cloud, private cloud, hyperscaler, and secure multi-tenant AI environments. - Partner with cybersecurity and infrastructure ecosystem partners where they help secure agentic AI deployments and make AI Factory adoption easier for regulated customers. - Share EMEA customer and partner requirements with product and engineering where packaging, support, documentation, security, or legal clarity affects adoption. What we need to see: - BS/MS in Computer Science, Engineering, AI/ML, Cybersecurity, or equivalent practical experience. - 12+ years in software GTM, developer relations, technical partnerships, product management, solution architecture, cybersecurity, or AI platform role - Strong understanding of leading open/open-weight models, such as Kimi K3, GLM 5.2, DeepSeek, MiniMax, Qwen, Mistral, and others. - Hands-on understanding of LLMs, agentic AI, open-weight models, inference, fine-tuning, RAG, evaluation, guardrails, model routing, and enterprise deployment patterns. - Experience with regulated enterprise, public sector, defense, FSI, healthcare, telecom, cloud provider, or sovereign cloud environments where governance and trust are major adoption factors. - Understanding of confidential computing, cybersecurity, secure deployment, Kubernetes, Linux, identity, encryption, secrets, data control, and software lifecycle operations. - Ability to translate complex model, licensing, legal, security, and deployment topics into practical field guidance and commercially useful sales plays. - Strong executive communication skills and comfort leading multi-stakeholder work across customer, partner, field, product, legal, security, and engineering teams. - Commercial judgement to qualify opportunities, align success criteria, and connect technical adoption to revenue outcomes.
Ways to stand out from the crowd: - Experience with Nemotron, DeepSeek, Qwen, Mistral, MiniMax, GLM, Kimi, NeMo, NIM, NVIDIA Agent Toolkit, Dynamo, TensorRT-LLM, Triton, vLLM, SGLang, Hugging Face, or similar ecosystems. - Experience turning agentic AI, open models, secure AI deployment, or regulated AI requirements into field playbooks, workshops, demos, and executive content. - Familiarity with EU AI Act / GPAI themes, model licensing, data residency, model provenance, confidential computing, zero-trust architecture, or sovereign AI positioning. - Track record launching cross-functional GTM programs that creaarted production adoption, customer references, or partner-led revenue. If you re ready to take on this outstanding opportunity and help NVIDIA continue to lead the world in technology innovation, apply now! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
As you plan your future, see what we can offer to you and your family Your cash compensation will be determined based on your location, experience, and other objective job-related factors, with 85% paid through base salary and 15% through variable compensation. The expected cash compensation ranges for this position are: 172,425 EUR – 298,870 EUR for Level 5; and 209,550 EUR – 363,220 EUR for Level 6.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing.
An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.
Come join the team and see how you can make a lasting impact on the world. This role owns the EMEA go-to-market motion for NVIDIA s Agentic AI Platform, helping customers and partners adopt, deploy, secure, and scale agentic AI on NVIDIA.
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