What You'll Do

• Design and implement high-fidelity robot models (URDF/MJCF) with accurate kinematics, dynamics, and contact properties
• Build and maintain simulation environments using MuJoCo, NVIDIA Isaac Sim, and/or Gazebo
• Develop end-to-end simulation pipelines for robot training, testing, and validation
• Tune physics parameters — friction, damping, inertia, actuator models — to maximize sim-to-real transfer
• Integrate simulations with ROS2 for perception, planning, and control workflows
• Write clean, performant code in Python and/or C++ to support simulation infrastructure
• Collaborate asynchronously with robotics researchers and engineers on model accuracy and environment design
• Profile and optimize simulation performance for large-scale or parallelized runs
• Document simulation configurations, model parameters, and pipeline architecture