ADAS / Autonomous Driving – Perception Engineer

L&T Technology Services

Bengaluru

On-site

INR 1,200,000 - 1,500,000

Full time

14 days+

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Job summary

A leading technology firm in Bengaluru is seeking an experienced ADAS / Autonomous Driving Perception Engineer. The role involves developing perception algorithms using sensor data for advanced driver assistance systems. Candidates should have 3+ years of experience in autonomous driving perception, strong skills in sensor fusion, and proficiency in Python and MATLAB. This position offers an opportunity to work on next-generation mobility solutions and collaborate with cross-functional teams to improve system performance.

Qualifications

  • 3+ years of experience in ADAS or Autonomous Driving perception systems.
  • Strong hands-on experience with Sensor Fusion involving LiDAR, Camera, Radar, GNSS.
  • Proficiency in Python and MATLAB, as well as experience with ROS / ROS2.

Responsibilities

  • Develop and validate perception algorithms for autonomous driving and ADAS.
  • Work on sensor fusion for object detection and environment understanding.
  • Collaborate with cross-functional teams for system improvement.

Skills

Sensor Fusion
Object Detection
Tracking
SLAM
Python
MATLAB
ROS / ROS2
Analytical Skills

Job description

Job Description: ADAS / Autonomous Driving – Perception Engineer

Experience: 3+ Years

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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