Staff Reinforcement Learning Engineer - Robotics

XPeng Motors, one of China’s leading smart electric vehicle (EV) companies, is at the forefront of innovation in designing, developing, and manufacturing smart EVs integrated with advanced Internet, AI, and autonomous driving technologies. We are now expanding into the development of general-purpose humanoid robots aimed at automating repetitive tasks and assisting people in their daily lives. To achieve this vision, we are seeking talented Reinforcement Learning Engineers with expertise in ML/RL system design, software development, and hardware, particularly in legged robots.

Job 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.

Minimum Requirements:

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

• Proficiency in Python and strong software design skills.

• 3-5+ years of experience with deep learning frameworks like PyTorch.

• Strong understanding of reinforcement learning and imitation learning techniques.

• Proven experience applying algorithms such as PPO, DQN, SAC, etc., to real-world problems.

Preferred Requirements:

• Experience with C++ is a plus.

• Hands-on experience with the control and operation of legged robot hardware is highly preferred.

What do we provide:

• 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

• Competitive compensation package & benefits

• Snacks, lunches, and fun activities

The base salary range for this full-time position is $215,280-$364,320, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.