Algorithm Architect - MCU

Key Responsibilities

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