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Job Title


ADAS / Autonomous Driving – Perception Engineer


Company : L&T Technology Services


Location : Bangalore, Karnataka


Created : 2026-04-15


Job Type : Full Time


Job Description

Job Description: ADAS / Autonomous Driving – Perception EngineerLocation: BangaloreExperience: 3+ YearsEmployment Type: Full‑timeRole OverviewWe 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 ResponsibilitiesDevelop 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 & Qualifications3+ years of experience in ADAS or Autonomous Driving perception systemsStrong hands‑on experience with Sensor Fusion (LiDAR, Camera, Radar, GNSS)Knowledge of object detection, tracking, and SLAM techniquesExperience with Perception RCA, disengagement analysis, and log analysisProficiency in Python and MATLABHands‑on experience with ROS / ROS2Exposure to automotive validation workflows and real‑world datasetsStrong analytical skills and problem‑solving mindsetGood to HaveExperience working on L2+/L3 ADAS or autonomous driving programsExposure to real vehicle data, simulation, or synthetic datasetsFamiliarity with safety‑critical automotive systems and workflows