Hiring: Senior Reinforcement Learning Engineer - Robotics Company: XPENG Location: Santa Clara, CA Job Posted Time: 2026-09-12 03:28:52 Employment Type: Full-time Target Skills & Keywords : C++, Deep Learning, Emotion, Machine Learning, Make, PyTorch, Python, R, Reinforcement Learning About the job Experience: •3+ years of experience with deep learning frameworks like PyTorch. Required Skills: •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. Qualifications: •Advanced degree in Mechanical Engineering, Computer Science, Robotics, or a related field. Open to fresh graduates. •Proficiency in Python and strong software design skills. •1-3+ years of experience with deep learning frameworks like PyTorch. •In-depth knowledge of reinforcement learning and imitation learning techniques. •Proven experience applying algorithms such as PPO, DQN, SAC, etc., to real-world problems. •Practical experience utilizing C++ is a plus. •Applied hands-on capability in the control and operation of legged robot hardware is highly preferred. •A fun, supportive and engaging environment. •Opportunities to make a significant impact on the future of transportation and robotics. •Opportunity to work on cutting edge technologies with the top talent in the field. Compensation: •$174,720 - $295,680 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!