Senior Solutions Architect, Physical AI and Robotics at NVAITC

Overview

• 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.
• 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.
• 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.