QA Engineer – AV Behavior Simulation Testing

Avride; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Avride in Austin, Texas is seeking a QA Engineer in Simulation Testing to design, execute, and analyze virtual scenarios validating autonomous driving software. You’ll work with development, analytics, and data labeling teams, prepare checklists and test scenarios, gather testing datasets, and deliver clear testing reports and safety metrics.

You will apply your analytical mindset and proactive approach to continuous improvement to drive reliable offline testing and contribute to safer

Qualifications

• 3+ years of experience in software testing.
• Strong analytical abilities and structured thinking.
• Proactive, inquisitive mindset with a drive for continuous improvement.
• Excellent ability to plan and prioritize tasks under varying workloads.
• Good understanding of traffic rules and driving regulations.

Responsibilities

• 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.

Skills

Software testing

Analytical thinking

Test planning

Task prioritization

Python

Tools

Python

Job description

Austin, Texas

About the team

Our Simulation Testing team ensures reliability and safety of autonomous drivingsystems through comprehensive virtual scenario testing. We collaborate closelywith the Motion Planning, Prediction, Perception, and Control teams to buildeffective 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 virtualtest scenarios, focusing on validation of autonomous driving software. You’ll workclosely with development, analytics, and data labeling teams, prepare checklistsand test scenarios, gather testing datasets, and deliver clear and actionabletesting reports. Your analytical mindset and proactive approach to continuousimprovement 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 clearlyCreate 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 [e-mail] .