Senior Staff/ Principal Research Scientist – Dexterous Manipulation

XPENG Inc

Shenzhen, China
**
Advanced manipulation algorithm design
Humanoid robot dexterous hand control
Reinforcement learning implementation
** XPENG Inc is seeking a Senior Staff/Principal Research Scientist specializing in dexterous manipulation to work on advanced robotic systems in Shenzhen, China. The ideal candidate will have a strong background in robotics, AI, and algorithm development, with a focus on reinforcement learning and simulation environments. **

Job Summary

  • XPENG is a leading smart technology company integrating AI and autonomous driving technologies into vehicles and robotics.
  • The role involves designing and deploying advanced manipulation algorithms for humanoid robot dexterous hands spanning teleoperation and force control.
  • Candidates must possess a strong foundation in robot dynamics, kinematics, and optimal control with excellent mathematical skills.

Matching Summary

Match Score: 75

** XPENG Inc is seeking a Senior Staff/Principal Research Scientist specializing in dexterous manipulation to work on advanced robotic systems in Shenzhen, China. The ideal candidate will have a strong background in robotics, AI, and algorithm development, with a focus on reinforcement learning and simulation environments. **

Skills & Requirements

Must-have

  • Advanced manipulation algorithm design
  • Humanoid robot dexterous hand control
  • Reinforcement learning implementation
  • High-fidelity simulation environment development
  • Linux Docker C++ Python proficiency

Nice-to-have

  • Isaac Gym or Isaac Lab simulation experience
  • Tactile sensing integration expertise
  • Sim2real transfer practical experience
  • Collaborative mindset in fast-paced teams
  • Imitation learning framework knowledge

Key Requirements

  • M.S. or Ph.D. in Robotics, Computer Science, or AI
  • Proficiency in Linux, Docker, C++, and Python
  • Demonstrated ability to independently research new algorithms

Work Rights

Not specified

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