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.
• Strong background in robot dynamics, control, motion planning, reinforcement learning, imitation learning, or whole-body control.
• Familiarity with modern robot learning methods such as PPO, SAC, behavior cloning, diffusion policies, imitation learning, etc.
• Excellent communication skills, with the ability to work across disciplines, locations, and organizational boundaries.
• Strong ownership mindset and ability to operate effectively in a fast-moving, ambiguous, research-to-product environment.

Preferred Requirements:

• Publications or strong project experience in robotics, reinforcement learning, legged locomotion, humanoid control, or embodied AI are a plus.
• Experience technically leading projects or mentoring other engineers.
• Hands-on experience with legged robot control, testing, or operation.

• A supportive, engaging environment with opportunities to make a significant impact on the future of robotics.
• Opportunities to work on cutting-edge technologies with top talent in the field.
• Competitive compensation, equity, benefits.
• Lunches, snacks, and team activities.