Roboticist, Robot Foundation Model

In this role you will help build embodied intelligence forRobots, leading offline 3D reconstruction from vehicle sensors to enable robust world geometry and ego-motion estimation. You will bridge research and engineering, work hands-on with hardware and ML systems, and communicate across research, engineering and product teams. You’ll thrive in a fast-moving environment with ownership and ambiguity, contributing to a mission to enable universal autonomy.

• hybrid working model
• relocation support and visa sponsorship
• learning and development budgets
• health insurance
• dental
• enhanced maternity and paternity leave

• Lead offline 3D reconstruction from vehicle sensor data in dynamic scenes, integrating localization, mapping, state estimation and sensor fusion
• Produce offline 3D geometry and best-estimate ego motion across heterogeneous platforms for validation, data enrichment and model development
• Turn raw sensor data into reliable, quality-assessed ground-truth outputs to support downstream tasks
• Debug across hardware, software, and ML systems; move between research exploration and pragmatic engineering execution
• Communicate clearly with research, engineering, and product teams; own contributions in a fast-moving environment

• Experience in robot manipulation and hardware interaction
• Proficiency in C++ and Python in robotics or ML environments
• Strong robotics and ML fundamentals with ability to translate research into robust systems
• Publications in ICRA, CoRL, or IROS are highly valued
• PhD preferred; MS acceptable with strong relevant experience

• Clear communication across teams
• Strong ownership and initiative
• Ability to work in ambiguity and fast-moving environments
• Robot manipulation and hardware integration
• C++ and Python in robotics/ML
• Robotics and ML fundamentals; system design from research to production