Senior Solutions Architect, Physical AI, Generative AI and Physical AI at NVAITC

NVIDIA is hiring a Solution Architect for the AI Technology Centre team in Bavaria, Germany. This role is ideal for scientists who can also clearly define and apply strong strategic capabilities. Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms.

Why Bavaria? Bavaria has become one of Europe’s strongest hubs for AI and high‑performance computing, with deep industrial roots in automotive, manufacturing, and engineering and a fast-growing startup ecosystem in Munich and beyond. It offers a highly active environment for Generative AI, Physical AI, and Agentic AI research and deployment, bringing together leading universities, Fraunhofer institutes, and industry partners that are building and scaling advanced AI models and systems across real-world applications.

What you’ll be doing:

• Participate in high impact research projects alongside university PIs and their research labs.
• Identify and evaluate new high-value research opportunities in Generative AI, Agentic AI and Physical AI.
• Champion the adoption of NVIDIA software platforms and models (such as NeMo, NIMs, Cosmos, Warp, Newton, CUDA-X, NemoClaw, Nemotron AI models) to tackle groundbreaking scientific challenges.
• Shape and nurture strategic institutional agreements with top Bavarian universities and research institutions.
• Empower academic partners by helping them secure critical research funding from external sources.
• Act as a bridge between academic partners and NVIDIA product, program, and engineering teams. Communicate software and hardware requirements to ensure our solutions continue to drive world‑class research.
• Deliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs.
• Coordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Agentic AI Events).
• Help university PIs mentor postgraduate students.

What we need to see:

• Ph.D. in Computer Science, Applied Mathematics, Physics, Engineering, Robotics.
• Research publications in Generative AI, Agentic AI or Physical AI.
• Experience working in academic research groups.
• Comprehensive knowledge of Generative AI, Agentic AI and Physical AI: perception, sim‑to‑real transfer, world models, LLMs, VLMs, agentic AI systems.
• Experience with scientific policy engagement, grant processes, or national/European research program structures.
• Excellent written and verbal communication skills in English.
• Proven ability to work collaboratively in a team environment and learn new technologies quickly.
• 5+ years of hands‑on experience in Generative AI research.

Ways to stand out from the crowd:

• Postdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D.
• Recognition across the research community with awards, named fellowships and grants in Generative AI, Agentic AI and Physical AI domains.
• Experience in technology transfer – advancing research prototypes toward product integration or extensive platform deployment.
• Experience building and implementing projects with NVIDIA software platforms.