Capgemini
ADAS SME
Skills
Job description
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