NVIDIA
SeniorSolutionsArchitect,PhysicalAI,GenerativeAIandPhysicalAI
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Solutions Architect, Physical AI, Generative AI and Physical AI at NVIDIA. Skills: Generative AI, Agentic AI, Physical AI, NVIDIA software platforms. Participate in research projects. Identify research opportunities”
Industry & Context.
Tackle scientific challenges
What They're Looking For.
Must Have
Ph.D. in Computer Science, Ph.D. in Applied Mathematics, Ph.D. in Physics, Ph.D. in Engineering, Ph.D. in Robotics, Research publications in Generative AI, Research publications in Agentic AI, Research publications in Physical AI, Experience working in academic research groups, Comprehensive knowledge of Generative AI, Comprehensive knowledge of Agentic AI, Comprehensive knowledge of Physical AI, Knowledge of perception, Knowledge of sim-to-real transfer, Knowledge of world models, Knowledge of LLMs, Knowledge of VLMs, Knowledge of agentic AI systems, Experience with scientific policy engagement, Experience with grant processes, Experience with national research program structures, Experience with European research program structures, Excellent written communication skills, Excellent verbal communication skills, Proven ability to work collaboratively, Proven ability to learn new technologies quickly, 5+ years of hands-on experience in Generative AI research
Nice to Have
Postdoctoral experience, Faculty experience, No more than 10 years following a Ph. D., Recognition across research community, Awards in Generative AI, Awards in Agentic AI, Awards in Physical AI, Named fellowships in Generative AI, Named fellowships in Agentic AI, Named fellowships in Physical AI, Grants in Generative AI, Grants in Agentic AI, Grants in Physical AI, Experience in technology transfer, Experience building NVIDIA software platforms, Experience implementing NVIDIA software platforms
What You'll Do.
Participate in research projects
Identify research opportunities
Evaluate research opportunities
Champion adoption of NVIDIA software
Champion adoption of NVIDIA models
Tackle scientific challenges
Shape institutional agreements
Nurture institutional agreements
Empower academic partners
Help secure research funding
Communicate software requirements
Communicate hardware requirements
Ensure solutions drive research
Deliver strategic insights
Coordinate outreach activities
Deliver outreach activities
Help mentor postgraduate students
How You'll Work.
Team & Collaboration
University PIs; Research labs; Academic partners; NVIDIA product teams; NVIDIA program teams; NVIDIA engineering teams
Communication Scope
Written communication; Verbal communication
Full Job Description
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 s
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