Algorithm Developer - MCU

Larsen & Toubro; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Larsen & Toubro is looking for an Algorithm Architect to lead the development of motor control algorithms for electric vehicles. This role encompasses defining the algorithmic architecture, developing control strategies, and collaborating with engineers to create high-performance solutions.

The ideal candidate will have a Master’s or Ph.D. in Electrical Engineering and over 8 years of relevant experience in automotive applications. Strong expertise in C/C++ programming and familiarity with ISO 26262 compliance are essential.

Qualifications

• 8+ years of experience in motor control algorithm development for automotive applications.
• Deep understanding of electric motors and power electronics.
• Experience with HIL/SIL testing and embedded control hardware validation.

Responsibilities

• Define and own the algorithmic architecture for motor control.
• Develop motor control strategies such as Field-Oriented Control.
• Collaborate with hardware engineers to optimize algorithms.

Skills

C/C++ programming

Real-time embedded systems

Motor control algorithms

DSP/MCU platforms

Model-based design

Leadership

Education

Master’s or Ph.D. in Electrical Engineering

Tools

MATLAB/Simulink

Job description

Business Unit: EPS Mobility

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+ 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.