Senior Solutions Architect, Physical AI, Generative AI

Role Overview

• 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.

Requirements

• 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.

Benefits

• NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer!