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ADAS / Autonomous Driving – Perception Engineer

L&T Technology Services
Full Timejunior
INPosted April 18, 2026

Job Description

Job Description: ADAS / Autonomous Driving – Perception Engineer

Location: Bangalore

Experience: 3+ Years

Employment Type: Full‑time

Role Overview

We are looking for an ADAS / Autonomous Driving Perception Engineer to work on next‑generation intelligent mobility solutions. The role involves developing, validating, and analyzing perception systems using multi‑sensor data to support advanced driver assistance and autonomous driving use cases.

Key Responsibilities

  • Develop and validate perception algorithms for autonomous driving and ADAS applications.
  • Work on sensor fusion involving LiDAR, Camera, Radar, and GNSS for object detection and environment understanding.
  • Perform Perception Root Cause Analysis (RCA) and disengagement analysis using real‑world vehicle data.
  • Design and improve object detection, multi‑object tracking, and SLAM pipelines.
  • Analyze perception failures, edge cases, and system limitations using logs and datasets.
  • Integrate and test perception modules in ROS / ROS2‑based frameworks .
  • Support automotive validation activities , including scenario‑based testing and performance evaluation.
  • Collaborate with cross‑functional teams (prediction, planning, validation, and testing) for end‑to‑end system improvement.

Required Skills & Qualifications

  • 3+ years of experience in ADAS or Autonomous Driving perception systems
  • Strong hands‑on experience with Sensor Fusion (LiDAR, Camera, Radar, GNSS)
  • Knowledge of object detection, tracking, and SLAM techniques
  • Experience with Perception RCA, disengagement analysis, and log analysis
  • Proficiency in Python and MATLAB
  • Hands‑on experience with ROS / ROS2
  • Exposure to automotive validation workflows and real‑world datasets
  • Strong analytical skills and problem‑solving mindset

Good to Have

  • Experience working on L2+/L3 ADAS or autonomous driving programs
  • Exposure to real vehicle data, simulation, or synthetic datasets
  • Familiarity with safety‑critical automotive systems and workflows

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