- 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.