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Lead technical evaluations for custom inference chips in robotics, analyze bottlenecks, define architecture, and guide RTL prototyping while delivering reports with strategic recommendations.

Develop, optimize, and maintain embedded systems for humanoid robots, focusing on seamless hardware and software integration and AI-driven control strategies.

Lead the development of embedded systems for autonomous vehicles, integrating sensors, software, and hardware while ensuring safety and performance standards.

Assemble, test, and bring up humanoid robotic subsystems and full systems; interpret drawings and wiring diagrams; troubleshoot electromechanical issues; support prototyping, validation, documentation (BOMs, work instructions), and partner with supply chain and operations.

Design and optimize reinforcement learning algorithms for robot control, integrate policies into robot platforms, and collaborate across teams for hardware-software integration.