Localization Engineer (Autonomous Driving)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Develop Localization and Online Self-Calibration technologies for autonomous driving and data-collection vehicles. Build algorithms using camera, LiDAR, IMU, GNSS, and wheel odometry, including multi-sensor fusion state estimation and sensor extrinsic/intrinsic/temporal calibration. Improve accuracy with nonlinear optimization, validate on real driving data, and partner with Perception, Planning, and Data Platform teams to deliver reliable AI training data quality.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop Localization algorithms using sensors including camera, LiDAR, IMU, GNSS, and wheel odometry.
•Develop multi-sensor fusion state estimation algorithms.
•Develop online self-calibration algorithms for sensors including camera, LiDAR, and IMU.
•Develop and improve sensor extrinsic, intrinsic, and temporal calibration algorithms.
•Validate localization and calibration algorithms on real driving data and collaborate across teams (Perception, Planning, Data Platform) to deploy improvements that enhance AI training data quality.

Key Requirements

•Master’s degree (Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics, or related) with 3+ years of relevant experience, or a PhD.
•Understanding of Computer Vision, Robotics, Localization, Sensor Fusion, and/or State Estimation.
•Experience developing software with C++.
•Experience using Python for data analysis and algorithm validation.
•Understanding of Linear Algebra, Geometry, Probability, and Optimization; plus development experience in Linux environment.

Experience:3+ yearsAutonomous drivingRobotics

Education:Master's in Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics (or related)

Skills:CollaborationAlgorithm validationProblem-solving

Tech Stack:C++PythonLinuxComputer VisionRoboticsLocalizationSensor FusionState EstimationMulti-Sensor FusionNonlinear OptimizationKalman FilterFactor Graph OptimizationBundle AdjustmentCeres SolverGTSAMROSROS2LiDARIMUGNSS

Company Brief

42dot

Website

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42dot

1 week ago

Localization Engineer (Autonomous Driving)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop Localization algorithms using sensors including camera, LiDAR, IMU, GNSS, and wheel odometry.
•Develop multi-sensor fusion state estimation algorithms.
•Develop online self-calibration algorithms for sensors including camera, LiDAR, and IMU.
•Develop and improve sensor extrinsic, intrinsic, and temporal calibration algorithms.
•Validate localization and calibration algorithms on real driving data and collaborate across teams (Perception, Planning, Data Platform) to deploy improvements that enhance AI training data quality.

Key Requirements

•Master’s degree (Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics, or related) with 3+ years of relevant experience, or a PhD.
•Understanding of Computer Vision, Robotics, Localization, Sensor Fusion, and/or State Estimation.
•Experience developing software with C++.
•Experience using Python for data analysis and algorithm validation.
•Understanding of Linear Algebra, Geometry, Probability, and Optimization; plus development experience in Linux environment.

Experience:3+ yearsAutonomous drivingRobotics

Education:Master's in Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics (or related)

Skills:CollaborationAlgorithm validationProblem-solving

Company Brief

42dot

Website