About the team

Our Simulation Testing team ensures reliability and safety of autonomous driving systems through comprehensive virtual scenario testing. We collaborate closely with the Motion Planning, Prediction, Perception, and Control teams to build effective offline testing environments, reliable testing processes, and datasets. Our main goal is to detect and resolve issues as early and thoroughly as possible, prior to testing in real-world conditions.

About the role

As 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)