Senior Robotics Control Engineer

Responsibilities

• Design, implement, and deploy state estimation and sensor fusion algorithms (EKFs, UKFs, particle filters, factor graphs)
• Develop and tune advanced control algorithms including nonlinear control, MPC, optimal control, and whole-body control
• Architect and ship production-grade C++ control code for real-time embedded environments
• Iterate between simulation and hardware to design experiments and debug failure modes
• Develop trajectory optimization and motion planning algorithms
• Define performance metrics and evaluation frameworks for control and estimation subsystems
• Collaborate with embedded, mechanical, and AI teams to integrate algorithms across the robot stack

Requirements

• 5+ years of professional experience developing control systems for dynamic robots on real hardware
• Master's or PhD in Robotics, Controls, Mechanical Engineering, or a related field
• Deep expertise in control theory (nonlinear control, MPC, LQR, optimal control, whole-body control)
• Strong state estimation background (Kalman filters, particle filters, factor graphs)
• Production-quality C++ for real-time control and Python for analysis/simulation
• Solid command of robot kinematics, rigid-body dynamics, and spatial mathematics
• Hands-on experience with sensor integration (IMUs, encoders, force/torque sensors)
• Proven track record of implementing and validating algorithms on physical robotic systems

Preferred Qualifications

• Experience with bipedal, quadruped, or humanoid robots
• Background in reinforcement learning or learning-augmented control
• Experience with whole-body control and contact dynamics
• Familiarity with trajectory optimization frameworks (OSQP, IPOPT, Crocoddyl)
• Proficiency with simulation environments like MuJoCo, Drake, or Isaac Sim
• Experience with real-time computing constraints and embedded deployment
• Track record of publications at top-tier venues (ICRA, IROS, CoRL, RSS, IJRR)

About the Company

Dexmate is building the foundation for physical AI — a unified platform that combines high-quality robotic hardware with a universal Physical AI OS, making robots as easy to build and deploy as software.