Algorithm Architect – MCU

20 hours ago

Bengaluru, India Maven Workforce Inc. Full time

Role: Algorithm Architect – MCU (Motor Control Unit)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 thermalmanagement.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.Passion for electrification, automotive innovation, and high-performance control systems.

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