Senior RL Engineer, Humanoid Robots & Motion Control

XPENG Jordan; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Job summary

XPENG is seeking a researcher to advance humanoid robotics using deep learning and RL. You will research, implement, and evaluate legged locomotion methods and end-to-end motion controllers with reinforcement or imitation learning, and design experiments to address sim-to-real challenges.

You’ll stay current with the latest robotics research and contribute to real-world deployments. Candidates typically hold an advanced degree in a relevant field and have strong Python and PyTorch skills, plus

Qualifications

• Advanced degree in Mechanical Engineering, CS, Robotics, or related field.
• Proficiency in Python and strong software design skills.
• 1–3+ years of experience with PyTorch and deep learning frameworks.
• Strong understanding of reinforcement learning and imitation learning techniques.
• Experience applying algorithms such as PPO, DQN, SAC to real-world problems.

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

PyTorch

Reinforcement learning

Imitation learning

Research & evaluation

Education

Advanced degree in Mechanical Engineering, CS, or Robotics

Tools

C++

Job description

XPENG is seeking a researcher to advance humanoid robotics using deep learning and RL. You will research, implement, and evaluate legged locomotion methods and end-to-end motion controllers with reinforcement or imitation learning, and design experiments to address sim-to-real challenges.

You’ll stay current with the latest robotics research and contribute to real-world deployments. Candidates typically hold an advanced degree in a relevant field and have strong Python and PyTorch skills, plus