Senior Staff/ Principal Research Scientist – Dexterous Manipulation

Design, implement, and deploy advanced manipulation algorithms for humanoid robot dexterous hands, spanning teleoperation, force control, and reinforcement learning.

Develop and maintain high-fidelity simulation environments for robot kinematics, dynamics, sensor emulation, and physical interaction.

Research and innovate on state-of-the-art reinforcement learning algorithms to solve complex robotic manipulation tasks.

Diagnose and tackle core technical challenges that arise during specific robot task execution.

M.S. or Ph.D. in Robotics, Computer Science, Artificial Intelligence, or a related field.

Strong foundation in robot dynamics, kinematics, and optimal control, with excellent mathematical skills.

Proficiency in Linux, Docker, C++, and Python. Experience with git and a commitment to writing clean, maintainable code.

A collaborative mindset, intellectual curiosity, and humility in a fast-paced team environment.