XPENG Motors
Senior Reinforcement Learning Engineer - Robotics
$175K–$296K
Santa Clara, CA +1 · Senior · Full-time · Posted Jul 29, 2026
- Location
- Santa Clara, CA
Mountain View, California, United States - Experience
- 1–3+ years of experience with deep-learning frameworks; open to fresh graduates.
- Education
- Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field.
About the job
Researches and develops reinforcement-learning-based motion controllers for humanoid robots, evaluating their performance and addressing sim-to-real challenges.
What you'll do
- Research, implement, and evaluate deep-learning methods for legged locomotion and whole-body control.
- Develop and refine end-to-end robot motion controllers using reinforcement learning, imitation learning, or other advanced techniques.
- Design and analyze controller experiments, address sim-to-real challenges, and integrate relevant research advances.
What they ask for
- Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field; fresh graduates are welcome.
- Proficiency in Python and strong software design skills.
- Experience with deep-learning frameworks such as PyTorch.
- Strong understanding of reinforcement learning and imitation learning, with experience applying algorithms such as PPO, DQN, or SAC to real-world problems.
Nice to have
- Experience with C++.
- Hands-on experience controlling and operating legged robot hardware.
Pay
$174,720 - $295,680 USD base salary
Tools
Python, PyTorch, PPO, DQN, SAC, C++
AI focus
Develops deep-learning and reinforcement-learning methods for humanoid robot locomotion, whole-body control, and motion controllers.
Model-written summary · the original posting is authoritative