Senior Solutions Architect, Physical AI and Robotics at NVAITC
NVIDIA is hiring a Solution Architect for the AI Technology Centre team in London, UK. 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 London? The UK is committed to becoming a global leader in robotics adoption, with a goal of £150 billion GDP growth by 2035. London offers one of the most active Physical AI research environments worldwide.
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 Robotics and Physical AI.
- Champion the adoption of NVIDIA software platforms (such as Isaac Sim/Lab, Cosmos, GR00T, Warp, and Newton) to tackle groundbreaking scientific challenges.
- Shape and nurture strategic institutional agreements with top UK universities and research consortia.
- 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 Robotics Days).
- Help university PIs mentor postgraduate students.
NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
What we need to see
- Ph.D. in Robotics, Mechanical Engineering, Physics, or Computer Science (Computer Vision, AI, HCI specialisations).
- Research publications in Physical AI, Robotics and AI topics.
- Experience working in academic research groups.
- Comprehensive knowledge of Physical AI and Robotics: robot learning, manipulation, locomotion, perception, sim-to-real transfer, world models, or autonomous 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 AI research for robotics.
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 the robotics domain.
- Experience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment.
- Experience building and implementing projects with NVIDIA software platforms.
