About the roleAs a QA Engineer in Simulation Testing, you'll design, execute, and analyze virtual test scenarios, focusing on validation of autonomous driving software. You'll work closely with development, analytics, and data labeling teams, prepare checklists and test scenarios, gather testing datasets, and deliver clear and actionable testing reports. Your analytical mindset and proactive approach to continuous improvement will be key to your success in this role.
What you'll do- Design and implement structured testing plans for new features and bug fixes
- Develop detailed checklists and testing scenarios
- Collect and organize datasets for thorough testing
- Analyze test outcomes and document defects clearly
- Create reports on test findings and safety metrics
- Design metrics for evaluating AV performance and safety
- Collaborate closely with cross-functional teams to improve test coverage and effectiveness
What you'll need- 3+ years of experience in software testing
- Strong analytical abilities and structured thinking
- Proactive, inquisitive mindset with a drive for continuous improvement and deeper product understanding
- Excellent ability to plan and prioritize tasks effectively under varying workloads
- Good understanding of traffic rules and driving regulations
Nice to have- Experience with autonomous vehicle testing
- Proficiency in at least one programming language (e.g., Python)
- Basic understanding of vehicle dynamics or sensor technology (LiDAR, Radar, Cameras)
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.