Software Engineer - Dexterous Manipulation

Job Description

Implement and tune control algorithms for multi-fingered robotic hands to achieve human-like precision in grasping and manipulation. Translate state-of-the-art RL and imitation learning research into production-grade software for both simulation and physical hardware.

Requirements: Requires a BS/MS/PhD in Robotics, Computer Science, or Electrical Engineering with 3+ years of experience in robotic manipulation. Must have a proven track record of deploying complex algorithms from simulation to physical hardware using Python and C++.

Key Skills: Dexterous Manipulation, Reinforcement Learning, C++, Python, IsaacSim, MuJoCo, Drake, Kinematics, Dynamics, Jacobian-based Control, Imitation Learning, Diffusion Policies, Sim-to-Real Pipelines, Tactile-feedback Integration, Teleoperation, Computer Vision