Research Engineer – Simulation

Responsibilities

• Evaluate and extend physics engines (e.g. MuJoCo, Newton)
• Scale and optimize GPU-based physics simulators for massive training workloads
• Improve the realism of contact-rich manipulation environments
• Create tools and automated workflows to validate, tune, and optimize physical and visual assets

Minimum Qualifications

• Bachelor’s degree or higher in Computer Science, Robotics, Engineering, or a related field
• Strong C++ and Python programming skills
• Hands-on experience with physics engines
• Proven ability to build and scale high-performance, physics-based simulation environments

Preferred Qualifications

• Strong mathematical & physics background – particularly expertise in rigid/soft-body dynamics, contact mechanics, FEA, and numerical stability
• Experience across the entire simulation stack, from CAD import and mesh optimization to real-time rendering
• Experience with reinforcement learning, policy training, differentiable physics, or neural simulation models
• Background in contact-rich manipulation or legged locomotion
• Strong knowledge of GPU acceleration and robotics model formats (URDF, SDF, USD)
• Proven success deploying simulation-trained policies onto real-world hardware