You will join a focused team of domain experts building a greenfield, in-house L2+ ADAS software stack for Indian road conditions, covering four-wheelers and two-wheelers. The team designs and owns the complete architecture, algorithms, and tooling, from first principles through to deployment on automotive-grade ECUs. Engineers here shape foundational technical decisions, work directly with experts across perception, fusion, driving functions, motion control, and simulation, and see their work carried from concept to vehicle.

Define the architecture and interfaces of the ego-motion estimation component, including published accuracy and latency specifications for all consumers.

Design and implement state estimation from IMU, wheel speeds, steering angle, and vehicle bus signals, using Kalman-filter, observer, or factor-graph methods selected by analysis.

Develop online calibration of gyroscope and accelerometer biases, IMU mounting misalignment, effective wheel radius, and steering-angle offset.

Agree and verify interface requirements with Motion Planning & Controls, Driving Functions, and Sensor Fusion.

Validate estimation performance in simulation with realistic sensor error models, through resimulation of recorded drives, and against reference measurement equipment.

Implement deterministic, real-time C++ for target ECUs within defined memory and cycle-time budgets.

Contribute to safety analysis in line with ISO 26262.

Author technical proposals and the long-term roadmap for vehicle dynamics and ego-motion estimation across subsystems.

Bachelor's or Master's degree (PhD a plus) in Mechanical/Mechatronics, Electrical/Electronics, Control Engineering, Robotics, or a related discipline.

- 7-15 years of experience in vehicle state estimation, ego-motion, odometry,



or inertial navigation.
- Robust foundation in estimation theory: Proficiency in C++ (C++14/17) for embedded, real-time systems, and in Python for analysis; MATLAB/Simulink is an advantage.
- Working understanding of vehicle motion control and of how estimation errors affect closed-loop performance.

Experience with ADAS SoCs (e.g., TI Jacinto/TDA, Renesas R-Car, or equivalent) and their debugging and profiling tools.

Experience owning an ego-motion or vehicle-dynamics module consumed by multiple ADAS functions.

Experience validating estimators against reference equipment (e.g., Experience with two-wheeler dynamics or lean-angle estimation.

Experience using AI-assisted software development tools in an engineering workflow.

First-principles problem solving and the ability to justify design decisions with data.

Comfort building new systems where architecture and processes are still being defined.

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.

📌 Design and Planning Architect (Bengaluru)
🏢 Larsen and Toubro
📍 Bengaluru