Tech Stack

Description

You will own the Design-to-Simulation loop for next-generation dexterous hands, bridging Mechanical Design and Control. You'll build high-fidelity simulation scenes and teleoperation pipelines to validate human-like dexterity before machining, directly impacting hardware design through iterative validation in a digital twin.

Requirements

• MS or PhD in Robotics, CS, Mechanical Engineering or related field
• 2+ years experience with robotic simulation (Isaac Sim or MuJoCo)
• Strong understanding of USD file format (composition arcs, layers, stages)
• Strong Python skills; C++ is a plus
• Solid understanding of kinematics, rigid body dynamics, collision geometry, and spatial math

Responsibilities

• Champion Design-to-Sim workflow: develop tooling to convert CAD to USD assets optimized for Isaac Sim
• Design and implement evaluation environments in Isaac Lab for dexterity benchmarks
• Implement and maintain teleoperation retargeting interface between human input devices and simulated hand
• Create automated workspace kinematic analysis tools via Python scripting in Isaac Sim
• Partner with hardware team to measure and reduce sim-to-real gap through grasping stability comparisons