Job description

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) 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. Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai .

Requirements

Must-haves

About the team
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
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.

Nice-to-haves

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)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonai

Platform: greenhouse
Effort: quick