ADAS Algorithm Developer

Larsen & Toubro Ltd; Bengaluru; On-site; INR 1,250,000 - 1,600,000; Full time

Job summary

Larsen & Toubro Ltd is seeking an Algorithm Developer for their ADAS Business Unit. This role will involve developing, optimizing, and validating algorithms for advanced driver assistance systems used in vehicles. You will work on safety-compliant solutions and collaborate with cross-functional teams for seamless algorithm integration.

The ideal candidate should possess a strong background in C/C++, Python, and MATLAB, with over 5 years of experience in ADAS or autonomous driving. Join us in advancing technology in intelligent mobility.

Qualifications

• 5+ years of experience in ADAS / Autonomous Driving algorithm development.
• Strong grasp of vehicle communication protocols (CAN, LIN, Ethernet).
• Experience with HIL/SIL validation and data replay systems.

Responsibilities

• Define and develop the algorithmic architecture for ADAS functions.
• Collaborate with engineers for seamless integration of algorithms.
• Conduct performance evaluations using simulation and validation tools.

Skills

C/C++

Python

MATLAB/Simulink

Sensor processing

Computer vision

Education

Bachelor’s or Master’s in Computer Science, Electrical/Electronics Engineering, or related field

Tools

Real-time operating systems (RTOS)

Simulation tools (e.g. CarMaker)

AI/ML frameworks

Job description

Algorithm Developer - ADAS Business Unit: EPS Mobility Role: Algorithm Developer - ADAS is responsible for developing, optimizing, and validating ADAS algorithms for embedded real-time controllers used in automotive (e.g., lane change assist, adaptive cruise control etc.). You will lead the development of ADAS algorithms, ensuring high-performance, safety-compliant, and scalable solutions for traction and auxiliary motor systems.

Key Responsibilities

• Define and develop the end-to-end algorithmic architecture for ADAS functions such as Adaptive Cruise Control (ACC), Lane Keeping Assist (LKA), Automatic Emergency Braking (AEB) etc.
• Decompose system-level ADAS functions into modular algorithm components: perception, fusion, prediction, planning and control.
• Design sensor fusion frameworks (camera, radar, ultrasonic, IMU, GNSS) for accurate environment modeling and object tracking.
• Architect algorithms for multi-sensor object detection, classification, and tracking, leveraging both traditional signal processing and AI/ML methods.
• Define the software and hardware architecture interfaces to support real-time execution of algorithms on ECUs, GPUs, and embedded processors.
• Optimize algorithms for embedded performance, latency, and memory efficiency while maintaining high accuracy.
• Collaborate with system architects, software engineers, and data scientists to ensure seamless integration and deployment.
• Conduct algorithm performance evaluations using simulation, SIL/HIL, and on-vehicle validation.
• Contribute to functional safety (ISO 26262) and SOTIF (ISO 21448) compliance from an algorithmic perspective.
• Maintain awareness of latest research and technologies in ADAS, perception, and AI for automotive applications.
• Mentor and guide algorithm engineers in technical design, modeling, and validation best practices.

Qualifications

• Bachelors or Master’s in Computer Science, Electrical/Electronics Engineering, Robotics or related field.
• 5+ years of experience in ADAS / Autonomous Driving algorithm development or similar domains.
• Deep understanding of sensor processing, computer vision, sensor fusion, path planning, and vehicle control algorithms.
• Strong experience with C/C++, Python, and MATLAB/Simulink for algorithm design and validation.
• Familiarity with AI/ML frameworks and embedded AI deployment (CNN & latest technologies).
• Experience with real-time operating systems (RTOS) and AUTOSAR Classic/Adaptive environments.
• Solid understanding of vehicle dynamics, control theory, and state estimation techniques (Kalman Filters, Particle Filters, etc.).
• Experience with HIL/SIL validation, simulation tools (e.g. CarMaker) and data replay systems.
• Working knowledge of Functional Safety (ISO 26262) and SOTIF concepts.
• Strong grasp of vehicle communication protocols (CAN, LIN, Ethernet) and ECU architecture.
• Familiarity with AI-based perception pipelines (CNNs, RNNs, transformer-based architectures) for object detection and tracking.
• Knowledge of sensor calibration, time synchronization, and data fusion frameworks (ROS/ROS2, ADTF, RTMaps).
• Experience with GPU/SoC-based acceleration (NVIDIA, Qualcomm, TI etc.).
• Exposure to cybersecurity and over-the-air (OTA) update strategies.
• Contributions to research papers or patents in the ADAS/autonomous driving field.
• Strong analytical and abstract thinking capabilities.
• Excellent communication and cross-functional collaboration skills.
• Leadership and mentoring ability for algorithm development teams.
• Passion for innovation in intelligent mobility and autonomous systems.

L&T Company Overview / About Us

L&T is a USD 30 billion Indian multinational engaged in EPC Projects, Hi-Tech Manufacturing, and Services, operating across multiple geographies. A strong, customer–focussed approach and the constant quest for top-class quality have enabled L&T to attain and sustain leadership in its major lines of business for eight decades. Given L&T’s capability in strategic electronics and leveraging its foray into semiconductor design and well-established capabilities in L&T Technology Services, the business is expanding its offerings to cover industrial electronic modules, products and systems in critical sectors of Power Electronics, Automotive Electronics, Industrial Robotics & Automation, Communication Platforms and Electronic Systems Design & Manufacturing (ESDM). The focus products under Automotive Electronics are ADAS, Electrification & Connectivity related products.