Algorithm Architect - MCU (Motor Control Unit)

Business Unit:

The Algorithm Architect - MCU will define, design, and validate the algorithms that control electric motors in EVs or hybrid vehicles. This role focuses on torque control, motor efficiency optimization, field-oriented control (FOC), sensorless control, and system-level integration of motor control algorithms across embedded hardware platforms. You will serve as the technical authority for motor control algorithms, ensuring high-performance, safety-compliant, and scalable solutions for traction and auxiliary motor systems.

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.

Qualifications:

• Masters or Ph.D. in Electrical Engineering, Control Systems, Mechatronics, or related discipline.
• 8-12 years of experience in motor control algorithm development for automotive or industrial applications.
• Deep understanding of electric motors (BLDC, PMSM, Induction) and power electronics.
• Strong experience in real-time embedded systems, C/C++ programming, and DSP/MCU platforms.
• Knowledge of ISO 26262 Functional Safety and experience designing ASIL C/D compliant algorithms.
• Experience with model-based design (e.g. MATLAB/Simulink).
• Familiarity with vehicle communication protocols (CAN, Ethernet etc.) and integration with vehicle control units.
• Solid understanding of state estimation, sensor fusion, and control theory.
• Experience with EV traction inverters, e-axle systems, or high-power motor drives.
• Exposure to HIL/SIL testing and embedded control hardware validation.
• Knowledge of regenerative braking, torque vectoring, and efficiency optimization techniques.
• Familiarity with AI/ML applications in motor control (predictive control, anomaly detection).
• Understanding of OTA updates and embedded software lifecycle management.
• Strong analytical and system-level thinking capabilities.
• Excellent communication and cross-functional collaboration skills.
• Leadership and mentoring ability for algorithm development teams.
• Passion for electrification, automotive innovation, and high-performance control systems.