Roboticist, Robot Foundation Model
Wayve · Sunnyvale, California USA
Roboticsonsite$210k–$267k
At a glance
Highlights
- Build foundation models for general-purpose robots beyond self-driving.
- Develop offline 3D reconstruction from vehicle sensor data in dynamic scenes.
- Work hands-on with mobile manipulators, dual-arm platforms and humanoids.
What they offer
- Salaries benchmarked against the market annually
- Meaningful equity, sharing in the ownership and long term success of Wayve
- Relocation support and visa sponsorship where applicable
- Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
- Learning and development budgets with support for training, conferences and growth
- Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more
Ideal candidate
Hands-on roboticist excited by 0-to-1 research who thrives moving between exploration and pragmatic execution across hardware and ML, with strong judgment on experiments and clear cross-functional communication.
Requirements
- Experience in robot manipulation; working with robot hardware
- Experience with C++ and Python in robotics or ML environments
- Strong robotics and machine learning fundamentals, with the ability to translate research into robust systems
- Publications in top-tier conferences such as ICRA, CoRL, or IROS are highly valued
- PhD preferred; MS acceptable with strong relevant experience
- remote policy
- Hybrid working model that combines in-person collaboration
- visa sponsorship
- Relocation support and visa sponsorship where applicable
Lab profile
About Wayve
London-based AI lab building embodied driving intelligence for autonomous vehicles.
What they build
- Wayve Driver embodied AI driving software
- GAIA generative world models for driving
- LINGO language-grounded driving AI
Known for
- End-to-end embodied AI for driving
- Camera-first, mapless autonomy approach
- Large-scale real-world learning and simulation
Key facts
- Founded in 2017
- Headquartered in London, UK
- Backed by SoftBank Group, NVIDIA and Microsoft
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