Full Stack Motor Control Engineer, Figure

• 6+ years of hands-on experience developing embedded systems for high-performance motion control
• Proficiency in embedded C/C++ for real-time control on MCUs/DSPs
• Strong foundation in motor control theory (FOC, dq transformations, loop design, field-weakening)
• Solid understanding of ADC/PWM synchronization, ISR timing and task-scheduling
• Experience with motor drivers, inverters, current sensing, and encoder interfaces
• Familiarity with digital signal processing and frequency-domain analysis for control diagnostics
• Proficiency in MATLAB/Simulink or Python for modeling and data analysis
• Skilled with lab equipment for validation and software debugging
• Excellent communication and planning skills
• Resilient and effective in fast-paced, challenging environments
• MS or PhD in electrical engineering, controls, or a related field

Desirable

• We are seeking a Full-Stack Motor Control Engineer who combines strong control-theory expertise with deep embedded-firmware capability and a practical understanding of inverter hardware and sensors
• You will contribute to the complete motor control stack — from modeling and algorithm design through embedded implementation and lab validation
• This role requires a balance of analytical depth, hands-on debugging, and system-level awareness, working closely with cross-functional teams to deliver robust, high-performance actuation solutions for our humanoid
• Architect, implement, and tune current control loops for PMSM and BLDC actuators
• Develop, optimize and debug real-time embedded firmware in C/C++ for MCUs/DSPs (e.g., STM32)
• Design and validate observers and estimators for primary controls and for enhanced diagnostics and fallback strategies
• Design and validate state machines for control modes and fault handling
• Model control systems and simulate dynamics using MATLAB/Simulink or Python
• Bring up and debug custom inverter hardware, current sensors, and encoders
• Develop automated test routines for dynamic response, torque linearity, and efficiency mapping for motor-dynamometers and actuator-dynamometers
• Integrate high-speed telemetry and data-logging for system identification and control verification
• Collaborate cross-functionally to integrate actuators into robotic subsystems and end-effectors
• Support continuous improvement of control robustness and performance