Algorithm Architect for Motor Control Unit (MCU)

Algorithm Architect MCU

Business Unit: EPS Automotive Electronics 

Role: Algorithm Architect – MCU (Motor Control 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:  

• Master’s 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.