ADAS Algorithms - Driving Functions

About the team

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.

Role purpose

The ACC Architect leads the concept, architecture, and algorithm development of Adaptive Cruise Control, from target selection and driving policy through to the longitudinal motion request. The role works closely with the Motion Planning & Controls team, which owns the longitudinal controller, and spans the full lifecycle from requirements through simulation, embedded implementation, and in-vehicle tuning.

Key responsibilities

• Define the functional architecture of ACC, including target selection, driving policy, and the function state machine (standby, active, override, fault, and driver handover).
• Design and implement target-selection algorithms, including lane assignment of objects with and without reliable lane information and ego-path prediction.
• Handle traffic situations typical of Indian roads: cut-ins and cut-outs at short range, lane-splitting two-wheelers, slow-moving vehicles, stop-and-go traffic, and late-appearing stationary targets.
• Design the driving policy: time-gap and standstill-distance control, set-speed management, curve-speed adaptation, and comfort and jerk limits.
• Define the kinematic acceleration interface to the longitudinal controller jointly with the Motion Planning & Controls team, including limits, rates, and degradation behaviour.
• Derive stakeholder, system, and software requirements with measurable acceptance criteria and full traceability to verification.
• Validate the function in closed-loop simulation and through resimulation of recorded vehicle data; perform root-cause analysis of comfort and safety issues.
• Implement production-grade algorithms in C++ and support integration on target ECUs within defined memory and runtime budgets.
• Scale the function across four-wheeler and two-wheeler variants from a common architecture.
• Define and track function KPIs: time-gap accuracy, false-target rate, comfort metrics, and availability.
• Contribute to safety analysis in line with ISO 26262 and ISO 21448 (SOTIF).
• Author technical proposals and the long-term roadmap for Adaptive Cruise Control and cruising functions across subsystems.
• Provide technical guidance, design reviews, and mentoring to engineers working on cruising functions.

Required qualifications

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

• 7–15 years of experience in ADAS algorithm development.
• Demonstrated end-to-end ownership of ACC, Stop & Go, or an equivalent longitudinal assistance function through a production or pre-production vehicle program, including in-vehicle tuning.
• Strong experience in target and object selection under imperfect lane and sensor information.
• Working knowledge of longitudinal vehicle dynamics and control, sufficient to specify, review, and debug the controller the function drives.
• Working knowledge of ISO 15622 and ISO 22179, and of ISO 26262 and ISO 21448 (SOTIF).
• Proficiency in C++ (C++14/17) for embedded, real-time systems, and in Python for data analysis.
• Experience with closed-loop simulation environments (e.g., CarMaker, CARLA) and with analysis of recorded vehicle data.

Preferred qualifications

• Experience with ADAS SoCs (e.g., TI Jacinto/TDA, Renesas R-Car, or equivalent) and their debugging and profiling tools.
• Experience designing a target-selection module reused by multiple functions (e.g., AEB, lane centering).
• Experience with two-wheeler longitudinal assistance or with mixed, unstructured traffic.
• Patents or publications in cruise control, driving policy, or object selection.
• Experience using AI-assisted software development tools in an engineering workflow.

Key competencies

• Ability to explain complex trade-offs clearly to engineers and leadership to drive technical decisions.
• First-principles problem solving and the ability to justify design decisions with data.
• Ownership of work from concept to vehicle, without reliance on handoffs.
• Comfort building new systems where architecture and processes are still being defined.
• An experimental approach: rapid prototyping, evaluation against evidence, and iteration.
• Clear technical communication with cross-functional teams (fusion, motion control, test, and 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.