Senior Solutions Architect, Physical AI and Robotics - NVAITC

Das ist der Job

This role is ideal for scientists who can also clearly define and apply strong strategic capabilities.

Darum lohnt es sich

ppNVIDIA is hiring a Solution Architect for the AI Technology Centre team in Zurich, Switzerland.

Applicants must have significant publication records, community recognition, and research credibility to partner with Europe’s outstanding research groups on equal terms. /ph3Why Switzerland? /h3pSwitzerland is considered a leading robotics hub because it combines world‑class research at leading universities such as ETH Zurich, University of Zurich, EPFL with a uniquely dense ecosystem of top companies, AI talent, and industry partners that rapidly turn lab prototypes into real-world robots. /ph3What you'll be doing: /h3ulliParticipate in high impact research projects alongside university PIs and their research labs. /liliIdentify and evaluate new high-value research opportunities in Robotics and Physical AI. /liliChampion the adoption of NVIDIA software platforms (such as Isaac Sim/Lab, Cosmos, GR00T, Warp, and Newton) to tackle groundbreaking scientific challenges. /liliShape and nurture strategic institutional agreements with top Switzerland universities and research consortia. /liliEmpower academic partners by helping them secure critical research funding from external sources. /liliAct 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. /liliDeliver strategic insights on emerging trends, breakthroughs from the research ecosystem or labs. /liliCoordinate and deliver outreach activities (e.g., NVIDIA AI Days, NVIDIA Robotics Days). /liliHelp university PIs mentor postgraduate students. /li /ulh3What we need to see: /h3ulliPh.D. in Robotics, Mechanical Engineering, Physics, or Computer Science (Computer Vision, AI, HCI specialisations). /liliResearch publications in Physical AI, Robotics and AI topics. /liliExperience working in academic research groups. /liliComprehensive knowledge of Physical AI and Robotics: robot learning, manipulation, locomotion, perception, sim‑to‑real transfer, world models, or autonomous systems. /liliExperience with scientific policy engagement, grant processes, or national/European research program structures. /liliExcellent written and verbal communication skills in English. /liliProven ability to work collaboratively in a team environment and learn new technologies quickly. /lili5+ years of hands‑on experience in AI research for robotics. /li /ulh3Ways to stand out from the crowd: /h3ulliPostdoctoral or faculty experience is a plus, but no more than 10 years following a Ph.D. /liliRecognition across the research community with awards, named fellowships and grants in the robotics domain. /liliExperience in technology transfer - advancing research prototypes toward product integration or extensive platform deployment. /liliExperience building and implementing projects with NVIDIA software platforms. /li /ulpNVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer! /p /p #J-18808-Ljbffr