Apptronik
US - Texas - Austin
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Lead the technical direction of the Motion Control & Planning team to improve the robotics stack for humanoid and wheeled platforms. Translate state-of-the-art model-based and learning-based methods into robust capabilities for physical robot hardware.
Requirements: Requires an MS or PhD in Robotics or a related field with 8+ years of industry experience (4+ with PhD). Must have proven expertise in whole-body control, reinforcement learning, and production-grade C++/Python software engineering.
Key Skills: Whole-Body Control, Kinematics, Dynamics, State Estimation, Optimization Theory, Control Theory, Reinforcement Learning, C++, Python, Mobile Manipulation, Teleoperation, MPC, QP-based Control, Real-time Systems, Robot Hardware Deployment, Simulation
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