Robotics Controls Engineer

About Dexmate

Dexmate is building the foundation for physical AI — combining a new generation of robots with a universal Physical AI OS, making robots as easy to build and deploy as software. Today, robotics is fragmented, slow, and closed: most builders are forced to reinvent the same stack again and again, and most ideas never make it past the prototype stage. We exist to change that. Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.

If you want to help shape the next layer of human capability — and believe the future of robotics should be built together, not in isolation — we'd love to build it with you.

The Role

We are looking for a Senior Robotics Controls Engineer to own state estimation and whole-body control for our robots. You will design, implement, and ship real-time control and estimation algorithms in production C++, and iterate rapidly between simulation and hardware to make our robots move with precision and stability.

Responsibilities

• Design, implement, and deploy state estimation and sensor fusion algorithms for real-time general-purpose robot control — EKFs, UKFs, particle filters, factor graphs — fusing IMUs, encoders, force/torque sensors, and proprioceptive signals

• Develop and tune advanced control algorithms for dynamic robot motion: nonlinear control, model predictive control (MPC), optimal control, and whole-body control for legged and manipulating systems

• Architect and ship production-grade C++ control code running in real-time embedded environments; hold your implementations to the same quality bar as deployed software

• Iterate rapidly between simulation and hardware — design experiments, collect data, debug failure modes, and drive measurable performance improvements on physical robots

• Develop trajectory optimization and motion planning algorithms that respect actuator limits, contact constraints, and stability margins

• Define and maintain performance metrics and evaluation frameworks for control and estimation subsystems; own the failure analysis loop

• Work directly with embedded, mechanical, and AI teams to integrate control algorithms across the full robot stack

Minimum Qualifications

• 5+ years of professional experience developing control systems for dynamic robots, deployed on real hardware

• Master's or PhD in Robotics, Controls, Mechanical Engineering, or related field