Lead Software Engineer - Dexterous Manipulation
Core
Lead the development of learning-based dexterous control algorithms for a humanoid robot's hands to enable human-like precision manipulation in manufacturing and logistics.
Role type
Senior IC robotics software engineer (dexterous manipulation)
Builds
Learning-based control policies and software stacks for Apollo humanoid robot hands
Domain
Robotics, Applied AI, Manufacturing
Deliverable
production ML models
Required skills
Dexterous manipulation, Learning-based control, Python, Physics engines, C++
Preferred skills
Robotic kinematics, Teleoperation, Tactile sensing, Computer vision, Hardware bring-up
Technologies
IsaacSim, MuJoCo, Drake, C++, Python
Responsibilities
Create long-term technical roadmap for hand control, Design foundational software frameworks for manipulation, Integrate state-of-the-art research policies, Lead high-fidelity simulation strategy, Define next-generation hardware specifications, Oversee transition from research to fleet-wide deployment
Seniority
Senior, hands-on IC
