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42dot

Unified platform for multi-modal urban mobility

Test Engineer - Autonomous Driving

Manual & Functional QAUpdated on Nov 13
Full-timePangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, South KoreaNo salary listedHybrid

About the Job

Requirements

  • At least 3 years of experience in autonomous driving, ADAS, or vehicle-function/performance testing and verification.
  • Understand the major functions and operating principles of autonomous driving or ADAS systems.
  • Have experience developing and evaluating test scenarios, procedures, or cases in real-vehicle or simulation environments.
  • Operate a vehicle reliably in varied road and driving environments and respond quickly and calmly to unexpected situations during real-vehicle testing and evaluation.
  • Have experience analyzing test results and data to identify system problems and improvement opportunities.
  • Have experience analyzing and reproducing issues arising during testing and verifying whether they have been resolved.
  • Communicate and collaborate effectively with development teams and related departments.

Responsibilities

  • Evaluate the performance of major autonomous-driving functions, including driving, active safety, and parking, using real vehicles and simulation.
  • Develop test scenarios and procedures and establish evaluation criteria based on autonomous-driving functions, the operational design domain (ODD), and driving environments.
  • Collaborate with development teams to conduct regular real-vehicle and simulation verification of new functions and development versions.
  • Create test plans and conduct verification in line with autonomous-system development and release schedules.
  • Analyze real-vehicle and simulation test results to evaluate performance, identify vulnerable scenarios, and determine improvements.
  • Support reproduction and root-cause analysis of issues found during testing and verify improvements.
  • Develop and enhance simulation scenarios and regression test cases based on real-vehicle verification results.
  • Identify validation routes across varied road and driving environments, analyze their difficulty, and expand test coverage.
  • Manage test results and performance metrics, and improve verification processes in collaboration with development teams and related departments.

Desired Qualifications

  • Understand the structure and operating principles of perception, planning, and control in autonomous-driving systems.
  • Have experience validating autonomous-driving functions in real-vehicle and simulation environments and analyzing results across both environments.
  • Have experience with ODD-based test design, driving-scenario development, and verification-coverage analysis.
  • Have experience developing regression test cases in simulation or software-in-the-loop (SIL) environments, analyzing test results, and improving verification systems.
  • Have experience using Python and SQL for driving-data analysis, test automation, or performance-metric development.
  • Have experience analyzing vehicle-network data such as CAN and sensor data from cameras, radar, and LiDAR.
  • Have experience using vehicle-testing and data-measurement equipment such as OXTS, RT, Vector CANoe, and Vector CANape.
  • Have experience using development and testing tools in Linux environments.
  • Have experience developing performance indicators (KPIs) for autonomous-driving functions, quantifying driving-environment difficulty, or improving verification efficiency.
  • Have experience using collaboration and issue-management tools such as JIRA and Confluence.
  • Hold a bachelor's degree or higher in automotive engineering, mechanical engineering, electrical and electronic engineering, computer engineering, control engineering, or a related field.

About the Company

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42dot

Unified platform for multi-modal urban mobility

42dot.ai provides a platform called UMOS (Urban Mobility Operating System) that connects and manages multiple transportation modes—such as cars and drones—within a single system for cities, agencies, and private clients. UMOS enables efficient transportation management, demand-response services, and smart logistics by integrating data and operations across modes, powering operations through a subscription-based platform-as-a-service model. Unlike single-mode solutions, 42dot.ai offers multi-modal, city-focused orchestration that bridges public, private, and logistics needs. The company aims to transform urban mobility by helping cities run more efficiently, cut costs, and improve the experience for commuters and logistics providers.

Company size
501-1,000
Company stage
Growth Equity (Venture Capital)
Total funding
$731.9M
Headquarters
Seoul, South Korea
Founded
2019

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