Defining motion for autonomous systems. Backed by a16z.
About the role
Controls engineers are the bridge between robot hardware and reliable, high-quality motion. Sample projects include: implementing joint-space and Cartesian impedance / torque control for 7+ DoF robotic arms
What they're looking for
- bachelor's or master's degree (or equivalent experience) in robotics, mechanical engineering, electrical engineering, computer science, or a related field
- strong fundamentals in robot dynamics, kinematics, and feedback control
- hands-on experience implementing controllers on real robotic systems, not just in simulation
- strong C++ and/or Python, and comfort working with real-time robotics systems
- have experience with whole-body control, operational-space control, MPC, or optimization-based control
- come from a background in humanoid robotics, manipulation, legged robotics, or advanced industrial robot control
More about this role
At XDOF, we're at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We're building the foundation behind the foundation models — the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain — to help our partners drive the field forward.
Great data starts with great hardware behavior. We're looking for a Robotics Controls Engineer to build the high-performance control systems that make our dexterous manipulators and humanoid robots move safely, precisely, and repeatably — because every teleoperation session, every collection run, and every downstream model depends on robots that respond exactly as commanded.
Controls engineers are the bridge between robot hardware and reliable, high-quality motion. Sample projects include:
implementing joint-space and Cartesian impedance / torque control for 7+ DoF robotic arms
building whole-body control (WBC) for highly redundant humanoids with mobile bases, arms, and actuated torsos
designing optimization-based controllers: QP formulations, inverse dynamics, task/null-space control, and redundancy resolution
developing...
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