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Staff Robotics Engineer / Tech Lead – Whole-Body Control & Robot Learning
XPeng · Santa Clara, CA · Posted 157 days ago
Build whole-body control algorithms and sim-to-real learning methods for general-purpose humanoid robots, while technically mentoring a team at a cutting-edge robotics organization.
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.
We are now expanding into the development of general-purpose humanoid robots aimed at automating repetitive tasks and assisting people in their daily lives.
We are seeking a highly motivated Staff Robotics Engineer / Tech Lead to join our US robotics team. This role is ideal for a strong hands-on engineer who can contribute deeply to humanoid robot control, whole-body motion generation, robot learning, and sim-to-real deployment, while helping coordinate technical direction and mentor a small team. The ideal candidate brings strong engineering judgment, clear communication, and the ability to help other engineers move faster and make better technical decisions.
Key Responsibilities:
• Develop control and learning-based algorithms for humanoid robot locomotion , whole-body control , motion generation , and sim-to-real transfer.
• Contribute to the technical direction of the robotics team by identifying key problems, proposing practical solutions, and helping prioritize engineering efforts.
• Work with simulation, software, hardware, AI, data, and China-based engineering teams to translate robot performance goals into executable plans.
• Mentor other engineers through design reviews, code reviews, experiments, and technical discussions.
Minimum Requirements:
• Master’s or Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
• 5+ years of relevant experience in reinforcement learning , robotics , robot learning, control systems, or related areas.
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This role centers on Robot Control, Whole-body Control, Motion Planning, and Reinforcement Learning. There are 20 open roles at XPeng right now.
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