Robotics Simulation Engineer

About the Role

Design, build, and optimize high-fidelity physical simulations that bridge the gap between virtual environments and real-world robotic systems.

Responsibilities

• 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

What You'll Need

• Strong hands-on experience with at least one major robotics simulator: MuJoCo, NVIDIA Isaac Sim, or Gazebo
• Proficient in Python and/or C++ in a robotics or scientific computing context
• Solid understanding of rigid-body dynamics, contact mechanics, and control theory
• Experience creating and validating robot models (URDF, MJCF, or SDF formats)
• Familiarity with ROS2 and its integration with simulation environments
• Comfortable working with simulation pipelines — from environment setup to data collection and evaluation

Resume Tip

Highlight your experience with robotics simulators, programming languages, and relevant robotics concepts.