works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software int
Every bank, public authority and critical infrastructure operator in Europe is facing the same question right now: are we allowed to use AI?
As an Agent Strategist, you own how Sierra s AI agents come to life for our customers — from first pilot to a production agent handling thou
At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles.
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
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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Zur Originalanzeige135 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 78 in der KI-Entwicklung, 35 in Integration & Automatisierung.