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Capgemini Engineering

ADAS SME

Bangalore, IN

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hirly's read of this role

Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Description

Job Description - Grade Specific

We are seeking an experienced ADAS Subject Matter Expert (SME) with 10+ years of experience in Advanced Driver Assistance Systems (ADAS) and Autonomous Driving technologies. The ideal candidate will provide technical leadership, solution consulting, architecture guidance, and domain expertise for next-generation intelligent vehicle programs.

The candidate should possess strong expertise in ADAS functions, perception systems, sensor fusion, autonomous driving technologies, vehicle electronics, functional safety, and automotive software development.

Key Responsibilities

Solution Architecture & Technical Consulting

  • Define, review, and validate end-to-end ADAS system architectures.
  • Provide technical leadership for ADAS and autonomous driving programs.
  • Guide the design, development, and integration of sensor, perception, fusion, planning, and control systems.
  • Support solution definition, feasibility studies, and technology roadmaps.
  • Collaborate with OEMs, Tier-1 suppliers, and cross-functional engineering teams.

Functional Expertise

The candidate should have hands-on experience in one or more of the following ADAS functions:

Level 1 / Level 2 ADAS Features

  • Adaptive Cruise Control (ACC)
  • Autonomous Emergency Braking (AEB)
  • Forward Collision Warning (FCW)
  • Lane Departure Warning (LDW)
  • Lane Keeping Assist (LKA)
  • Traffic Sign Recognition (TSR)
  • Blind Spot Detection (BSD)
  • Rear Cross Traffic Alert (RCTA)
  • Driver Monitoring Systems (DMS)
  • Auto High Beam Control

Level 2+ / Level 3 Autonomous Functions

  • Highway Assist
  • Traffic Jam Assist
  • Automated Lane Change
  • Parking Assistance Systems
  • Automated Parking
  • Chauffeur Functions
  • Highway Pilot Concepts

Technical Skills

ADAS & Autonomous Driving Technologies

Strong expertise in:

  • Sensor Fusion
  • Perception Systems
  • Computer Vision
  • Object Detection and Tracking
  • Localization and Mapping
  • Path Planning
  • Behavioral Planning
  • Vehicle Control Systems
  • Autonomous Driving Architectures

Sensor Technologies

Hands-on experience with:

  • Camera-based Systems
  • Radar Sensors
  • Ultrasonic Sensors

Automotive Software Platforms

Experience working with:

  • AUTOSAR Classic Platform
  • AUTOSAR Adaptive Platform
  • Embedded Linux
  • RTOS-based Systems

Programming expertise in:

  • C++
  • C
  • Python

Vehicle Communication Protocols

Strong understanding of:

  • CAN
  • CAN-FD
  • LIN
  • Automotive Ethernet
  • FlexRay

Simulation & Validation Tools

Hands-on experience with:

  • MATLAB/Simulink
  • dSPACE
  • Vector CANoe
  • Vector CANalyzer
  • CarMaker
  • IPG Automotive Tools
  • Software-in-the-Loop (SIL) Validation
  • Hardware-in-the-Loop (HIL) Validation
  • Scenario-Based Testing Frameworks

Safety, Security & Compliance

Functional Safety

Strong working knowledge of:

  • ISO 26262
  • Hazard Analysis and Risk Assessment (HARA)
  • ASIL Classification
  • Functional Safety Lifecycle Management

Development Processes & Standards

Experience with:

  • ASPICE
  • Automotive V-Cycle
  • Requirements Engineering
  • Systems Engineering
  • Mechatronics-based Development
Original posting on Capgemini Engineering's site ↗

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