Algorithm Architect for Motor Control Unit (MCU)

Algorithm Architect - MCU

Key Responsibilities 

• Define and own the end-to-end algorithmic architecture for motor control, including traction, auxiliary, and hybrid motors. 
• Develop motor control strategies such as Field-Oriented Control (FOC), Direct Torque Control (DTC), sensorless control, and torque/speed regulation. 
• Design algorithms for inverter control, PWM modulation, current/voltage sensing, and thermal management. 
• Collaborate with hardware engineers to optimize algorithms for embedded platforms (MCU, DSP, FPGA, SoC). 
• Ensure functional safety (ISO 26262) compliance for motor control algorithms and contribute to ASIL-level definitions. 
• Lead model-based algorithm development and simulation using MATLAB/Simulink or equivalent tools. 
• Define interfaces between motor control algorithms and vehicle-level systems (battery management, drivetrain, regenerative braking). 
• Optimize algorithms for real-time execution, computational efficiency and fault tolerance on embedded systems. 
• Participate in HIL/SIL testing, algorithm validation and performance benchmarking. 
• Mentor and guide algorithm engineers on best practices, design patterns, and embedded implementation. 

Keep abreast of latest motor control technologies, sensorless techniques, and EV trends to inform architectural decisions.