Senior Staff/ Principal Research Scientist – Dexterous Manipulation

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity.

Key Responsibilities:

• 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.

Basic Qualifications:

• 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.

• Demonstrated ability to independently research and master new algorithms and technologies.

Preferred Qualifications:

• Hands-on experience with mainstream reinforcement learning or imitation learning frameworks.

• Proven ability to build complex simulations using Isaac Gym/Isaac Lab or similar platforms.

• Experience with tactile sensing and its integration in dexterous manipulation.

• Practical experience in sim2real transfer for robotics.

• Experience in controlling multi-joint robotic systems.

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