Quality Assurance Engineer (Autonomous Vehicle)
Core
Verification & Validation of autonomous driving functions (driving, parking, safety) through real-vehicle testing and SIL-based validation to ensure system performance and quality.
Role type
Quality Assurance Engineer (Autonomous Vehicle)
Builds
Autonomous driving systems for commercial deployment
Domain
Autonomous Vehicles / ADAS / Automotive Safety
Deliverable
production ML models | product features
Required skills
Real-vehicle testing, SIL/simulation-based evaluation, V-Model validation framework, requirement-based test design, test case development, defect analysis and root cause tracing, regulatory compliance (NCAP, UNECE), performance and quality metric management
Preferred skills
Autonomous driving system architecture (perception, planning, control), sensor data interpretation (camera, radar, ultrasonic), SDV environment knowledge, ASPICE/Functional Safety certification experience, dSPACE/Vector/RT equipment usage, Python for test automation
Technologies
dSPACE, Vector, RT, Driving Robot, Applied Intuition, JIRA, Confluence, Python
Responsibilities
Execute real-vehicle and SIL tests for autonomous functions; Develop test strategies and validation plans per development milestones; Analyze system requirements to derive verification items; Develop test bases including scenarios and acceptance criteria; Evaluate functionality and performance in various validation environments; Conduct user-centric usability and driving quality assessments; Analyze evaluation results, reproduce defects, and drive quality improvements; Establish and enhance evaluation environments and validation processes; Manage performance and quality indicators; Perform validation activities for regulatory audits and external quality requirements
Seniority
Mid-Senior, hands-on IC
