Research Scientist

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.