Senior Reinforcement Learning Engineer – Humanoid Robotics

Xpeng Inc.; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Benefits offered by this job

Snacks

Lunches

Fun activities

Job summary

XPENG Inc. is seeking a talented engineer to research, implement and evaluate deep-learning methods for legged locomotion and whole-body control in humanoid robots. You will develop motion controllers with reinforcement and imitation learning, design experiments to validate RL controllers, and keep pace with the latest robotics research.

A advanced degree is required, with Python proficiency and PyTorch experience essential. Fresh graduates are welcome.

Qualifications

• Advanced degree in Mechanical Engineering, Computer Science, Robotics or related field.
• Proficiency in Python and strong software design skills.
• 1-3+ years of experience with deep learning frameworks like PyTorch.
• Strong understanding of reinforcement learning and imitation learning techniques.

Responsibilities

• Research, implement, and evaluate deep-learning-based methods for legged locomotion and whole-body control problems in humanoid robots.
• Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques.
• Design, execute, and analyze experiments to evaluate RL controllers and address sim-to-real challenges.
• Stay updated and integrate the latest advancements in academic and engineering research for humanoid robotics.

Skills

Python

Reinforcement learning

Imitation learning

Deep learning

RL algorithms (PPO, DQN, SAC)

C++

Robot control

Education

Advanced degree in Mechanical/CS/Robotics

Tools

PyTorch

Job description

XPENG Inc. is seeking a talented engineer to research, implement and evaluate deep-learning methods for legged locomotion and whole-body control in humanoid robots. You will develop motion controllers with reinforcement and imitation learning, design experiments to validate RL controllers, and keep pace with the latest robotics research.

A advanced degree is required, with Python proficiency and PyTorch experience essential. Fresh graduates are welcome.