Simulation Infrastructure
Boost your chances before you apply.
Genesis
San Carlos, CA, US
Summary
Develop a high-throughput, GPU-based simulation pipeline for training robotics foundation models. Collaborate with robotics and policy training teams to implement essential features and bridge the sim-to-real gap.
Job Description
What You’ll Do
-
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
What You’ll Bring
-
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
Bonus Points
-
Built closed-loop or log-replay evaluation at scale.
-
Experience with robotics simulation tools such as genesis-world, Isaac Sim, MuJoCo, Newton, Drake, Gazebo, or similar platforms.
-
Experience with synthetic data, scene generation, asset pipelines, sim-to-real, or robotics benchmarks.
-
Experience with robot manipulation, mobile manipulation, humanoids, or embodied AI systems.
