Senior Research Engineer, Simulation

What you'll do

• Develop and maintain simulation environments using frameworks like MuJoCo and Isaac Lab.
• Implement and test control algorithms and XR teleoperation interfaces for simulated robots.
• Build procedural generation pipelines for diverse environments, object layouts, and robot motions.
• Optimize GPU-based physics simulator performance for large-scale training workloads.
• Import, configure, and validate robot assets in USD format for sim2real transfer.
• Implement Sim2Real pipelines and deploy learned models to physical robots.
• Build Gym-style APIs to support neural network training.

What we're looking for

• Bachelor’s degree or above in Computer Science, Robotics, Engineering, or a related field.
• 10+ years of full-time industry experience on robotics and/or physics simulation.
• Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
• Deep knowledge of state-of-the-art simulation techniques, including accurate contact dynamics and photorealistic rendering.
• Expertise in generating simulation assets, task definitions, and building Gym-style APIs for neural network training.
• Master’s or PhD’s degree in Computer Science, Robotics, Engineering, or a related field (preferred).
• Experience at autonomous driving or humanoid robotics companies on physics simulation (preferred).
• Hands-on experience deploying and debugging neural network models on robotic hardware (preferred).