Algorithm Architect for Advanced Driver Assistance Systems

Larsen & Toubro Ltd; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Larsen & Toubro Ltd invites applications for Algorithm Architect - ADAS to define and validate end-to-end ADAS algorithms, focusing on perception, sensor fusion, and path planning for autonomous driving. You will optimize real-time execution across ECUs and GPUs, ensuring safety and performance.

The role requires strong C/C++, Python, and MATLAB/Simulink skills, experience with RTOS, AUTOSAR, and AI-based perception pipelines, and leadership to guide a team of algorithm engineers.

Qualifications

• Bachelor’s/Master’s/PhD in CS, EEE, Robotics or related field.
• 8+ years of ADAS/autonomous driving algorithm development or similar.
• 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.
• Experience with RTOS and AUTOSAR Classic/Adaptive environments.
• Knowledge of vehicle dynamics, control theory, and state estimation techniques.
• Experience with HIL/SIL validation, simulation tools, and data replay systems.
• Knowledge of ISO 26262 and SOTIF concepts.
• Experience with CAN/LIN/Ethernet, ECU architecture.
• Exposure to AI-based perception pipelines and sensor calibration.
• Experience with GPU/SoC acceleration and cybersecurity concepts.

Responsibilities

• Define and own end-to-end algorithmic architecture for ADAS functions.
• Decompose system-level ADAS into modular algorithm components.
• Design sensor fusion frameworks for multi-sensor modeling.
• Architect algorithms for object detection, tracking, and classification.
• Define interfaces for real-time execution on ECUs/GPUs embedded processors.
• Optimize algorithms for latency and memory efficiency.
• Collaborate with system architects and data scientists for integration.
• Conduct performance evaluations using simulation, SIL/HIL, and on-vehicle validation.
• Contribute to functional safety (ISO 26262) and SOTIF compliance.
• Mentor algorithm engineers and stay updated with ADAS research.

Skills

C/C++

Python

MATLAB/Simulink

RTOS

AUTOSAR Classic/Adaptive

Sensor fusion

Computer vision

Kalman Filters

HIL/SIL

ROS/ROS2

GPU/SoC acceleration

Education

Bachelor's/Master's/PhD in CS/EE/Robotics

Tools

CarMaker

ROS/ROS2

ADTF

RTMaps

CAN/LIN/Ethernet

MATLAB/Simulink

Job description

Algorithm Architect - ADAS1 Business Unit: EPS Mobility Role: Algorithm Architect - ADAS

The Algorithm Architect – ADAS is responsible for defining, designing, and validating algorithms that enable advanced driver assistance and autonomous driving functions. The role focuses on perception, sensor fusion, path planning and control algorithms, ensuring their integration within embedded and high-performance computing environments. You will serve as the technical authority for algorithmic design, ensuring alignment with system-level requirements, functional safety, and real-time constraints.

Key Responsibilities

Define and own 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 Masters or PhD in Computer Science, Electrical/Electronics Engineering, Robotics or related field. 8+ 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.