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About the Role
This role focuses on building core simulation-centered infrastructure for robotics model development, evaluation, and iteration. You will design scalable systems for managing diverse simulation workloads and develop reusable frameworks, interfaces, and tooling to enhance simulation workflows. A key aspect of this role involves bridging the sim-to-real gap and developing a real-to-sim pipeline in collaboration with other teams.
Responsibilities
- Build core simulation-centered infrastructure for robotics model development, evaluation, and iteration.
- Design scalable systems for creating, running, and managing diverse simulation workloads across tasks, environments, and robots.
- Develop reusable environment frameworks, task interfaces, and tooling that make simulation workflows more reliable and observable.
- Work with the policy training team to bridge the sim-to-real gap.
- Develop a real-to-sim pipeline in collaboration with the asset generation team.
- Collaborate with a team of driven individuals committed to building general-purpose Physical AI.
Requirements
- Passion for your craft and demonstrated excellence in physics simulation engineering.
- Exceptional ownership and initiative: finding and solving problems independently.
- Extensive experience in physics simulation, with a preference for expertise in rigid body simulation and FEM.
- Insights and requests from a robotic researcher/engineer’s perspective for improving user experience.
- Proficiency in CUDA and GPU programming.
Skills
- physics simulation
- rigid body simulation
- FEM
- CUDA
- GPU programming
- robotics simulation tools
- synthetic data
- scene generation
- asset pipelines
- sim-to-real
- robotics benchmarks
- robot manipulation
- mobile manipulation
- humanoids
- embodied AI systems