Robotics Simulation & Control Engineer
Core
Design and validate future humanoid and wheeled robot platforms using physics simulation and reinforcement learning to inform hardware architecture and control strategies.
Role type
Robotics Simulation & Control Engineer
Builds
Physics simulation environments, RL training pipelines, and validation tools for robot platforms
Domain
Robotics, Humanoid Robotics, Reinforcement Learning
Deliverable
production ML models | product features
Required skills
Robot kinematics and dynamics, Physics simulation (MuJoCo, Isaac Sim, Gazebo), Reinforcement learning, URDF modeling, Python, C++
Preferred skills
Legged/humanoid/wheeled robot experience, RL locomotion/manipulation policy training, Whole-body control, Simulation-driven hardware design, Large-scale RL pipelines
Technologies
MuJoCo, Isaac Sim, Gazebo, URDF, Python, C++
Responsibilities
Design and evaluate new robot platforms using physics simulation; Analyze robot capabilities including workspace, manipulability, dynamic balance, and torque limits; Use reinforcement learning to stress-test robot designs; Own and maintain URDF models; Maintain the CAD → URDF → simulation pipeline; Develop tools and benchmarks to evaluate locomotion and manipulation; Provide quantitative feedback to hardware teams on actuator sizing and sensor layout
Seniority
Mid-Senior, hands-on IC
