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The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.

Lead engineering of the full embodied systems stack for real-world robots, owning onboard inference, data collection, teleoperation, and on-robot RL systems. Set architecture and technical direction, deliver reliable real-time deployments, close the loop between data, models and actions, and mentor engineers to scale embodied AI in industrial environments.

The Manufacturing Engineer will optimize manufacturing processes, develop equipment, design assembly sequences, and support production scaling while collaborating with design and operations teams.

Develop software for robotics, focusing on autonomy and systems integration. Responsibilities include building, validating, and maintaining robotics capabilities and tools.

The role involves architecting embedded systems for robotic devices, integrating various sensors, performance analysis, and technical leadership.

The Lead Software Engineer will architect the test infrastructure for robotics, integrating various teams, and ensuring continuous testing through automated frameworks and CI/CD pipelines.

The Senior Robotics Engineer will develop algorithms for robotic manipulation, focusing on motion planning, interaction control, and teleoperation for safe and efficient robotics in industrial environments.

The Senior Robotics Engineer will design state estimation systems for navigation, develop traversability analysis pipelines, and kinematically constrained planners for robotics operating in challenging terrains.

Lead the architecture and development of core robotics platform software, ensuring reliability and performance in Linux-based systems while mentoring other engineers.

Design and develop mechanical systems for AI robots, collaborate with teams, conduct simulations, and prototype testing to ensure reliability and safety.