Nvidia Industry · Research

Senior Solutions Architect, Physical AI and Robotics - NVAITC

CHF 130'000 – 150'000 / year
ZÜRICH AI-JOBTITLECOMPUTER VISIONAI-NATIVE

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 Switzerland 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.
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