Senior Staff/ Principal Research Scientist – Dexterous Manipulation

Job description

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. Publications in top-tier robotics or AI conferences (e.g., RSS , ICRA , IROS, CoRL, NeurIPS, CVPR) or journals (e.g., IJRR, TRO, T-RO, RA-L).

What do we provide

A fun, supportive and engaging environment. Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving. Opportunity to work on cutting edge technologies with the top talent in the field. Competitive compensation package. Snacks, lunches and fun activities. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.