Quality Assurance Engineer at 42dot - ScoutJobs - The AI-curated global job board
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42dot
Posted 4 hours ago

Quality Assurance Engineer

42dotQuality Assurance Engineer (Autonomous Vehicle)

Requirements

5+ years experience in autonomous driving or ADAS verification, Understanding of V-Model and vehicle development processes, Experience with SIL and vehicle-based testing

Skills

PythonMachine LearningAI/MLComputer Vision

About the role

Responsibilities

  • Perform vehicle testing and SILS testing for autonomous driving functions (driving, parking, safety)
  • Establish test strategies and verification plans according to development milestones
  • Analyze system/function requirements and derive verification items
  • Develop test basis including test scenarios, test cases, and compliance criteria
  • Conduct functional and performance evaluations using vehicles, SIL, and other verification environments
  • Perform usability and driving quality evaluations from a user perspective
  • Analyze evaluation results, reproduce defects, track causes, and derive improvements
  • Build and advance evaluation environments and verification processes
  • Manage performance and quality indicators and collaborate with development and quality departments
  • Conduct verification activities to respond to laws, certifications, audits, or external quality requirements

Requirements

  • 5+ years of experience in autonomous driving, ADAS, vehicle verification/evaluation, or system verification
  • Understanding of vehicle development processes and V-Model based verification systems
  • Understanding and verification experience of autonomous driving or ADAS functions
  • Experience in vehicle testing and SIL/simulation-based evaluation
  • Experience in requirement-based test design and test case development
  • Experience in test result analysis, issue reporting, and quality response

Preferred Qualifications

  • Deep understanding of autonomous driving systems (perception, decision, control) or ADAS functions
  • Experience with vehicle sensors (camera, radar, ultrasonic, etc.) and data interpretation
  • Understanding of SDV environments
  • Experience with NCAP, UNECE, or other autonomous driving/safety regulations and protocols
  • Experience with ASPICE, Functional Safety, or other certification/audit projects
  • Proficiency with evaluation tools such as dSPACE, Vector, RT equipment, Driving Robot, or Applied Intuition
  • Proficiency with collaboration tools like JIRA and Confluence
  • Test automation or data analysis skills using Python
  • Degree in Computer Science, Electrical/Electronic Engineering, Automotive Engineering, or related fields
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Quality Assurance Engineer

42dot · Pangyo

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