Senior Reinforcement Learning Engineer - Robotics

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.

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. Open to fresh graduates.

• Proficiency in Python and strong software design skills.

• 1-3+ 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.

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