Senior RL Engineer – Humanoid Robot Motion & Control

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

Benefits offered by this job

Competitive compensation package

Bonus opportunities

Snacks & activities

Impact on transportation and robotics

Job summary

XPENG is hiring for a robotics-focused role building deep-learning based control for humanoid robots. You will research, implement, and evaluate legged locomotion methods and end-to-end motion controllers using reinforcement and imitation learning.

Candidates should have an advanced degree and strong Python/PyTorch skills, plus experience with RL algorithms (PPO, DQN, SAC). Opportunity to work on cutting-edge robotics at XPENG.

Qualifications

• Advanced degree in ME, CS, or robotics or related field.
• Proficiency in Python and deep learning frameworks.
• 1–3+ years in deep learning and RL applications.

Responsibilities

• Research, implement, and evaluate deep-learning methods for legged locomotion and control.
• Develop end-to-end robot motion controllers using RL or related methods.
• Design, execute and analyze experiments to evaluate RL controllers.
• Incorporate latest research advances in humanoid robotics.

Skills

Python

Reinforcement learning

Imitation learning

PPO

DQN

SAC

Education

Advanced degree in Mechanical Engineering, Computer Science, Robotics, or related field

Tools

PyTorch

C++

Job description

XPENG is hiring for a robotics-focused role building deep-learning based control for humanoid robots. You will research, implement, and evaluate legged locomotion methods and end-to-end motion controllers using reinforcement and imitation learning.

Candidates should have an advanced degree and strong Python/PyTorch skills, plus experience with RL algorithms (PPO, DQN, SAC). Opportunity to work on cutting-edge robotics at XPENG.