Autonomous Vehicle Test Specialist information
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$11.30 - $15.58
13% of jobs
$18.10 is the 25th percentile. Wages below this are outliers.
$15.58 - $19.86
21% of jobs
$19.86 - $24.15
8% of jobs
$24.15 - $28.43
3% of jobs
The median wage is $31.64 / hr.
$28.43 - $32.71
6% of jobs
$44.39 is the 75th percentile. Wages above this are outliers.
$41.28 - $45.56
11% of jobs
$45.56 - $49.85
11% of jobs
$49.85 - $54.13
3% of jobs
$54.13 - $58.41
8% of jobs
How much do autonomous vehicle test specialist jobs pay per hour?
As of Aug 19, 2026, the average hourly pay for autonomous vehicle test specialist in the United States is $33.55, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $46.15 per hour, depending on experience, location, and employer.
Autonomous Vehicle Test Specialists are professionals responsible for testing and validating the performance, safety, and reliability of self-driving vehicles. They operate and monitor autonomous vehicles during test drives, collect and analyze data, and report any issues or anomalies to engineering teams. Their work ensures that autonomous driving systems function correctly before deployment on public roads. These specialists often collaborate with software developers and safety engineers to improve vehicle technology.
To thrive as an Autonomous Vehicle Test Specialist, you need a solid understanding of automotive systems, robotics, and safety protocols, often supported by a degree in engineering or a related technical field. Familiarity with data logging tools, vehicle diagnostic software, and simulation platforms is typically required, alongside certifications in vehicle safety or autonomous systems. Strong attention to detail, problem-solving abilities, and effective communication skills help ensure thorough testing and clear reporting. These competencies are crucial for validating the safety and reliability of autonomous vehicles in real-world scenarios.
Autonomous Vehicle Test Specialists work closely with engineering and software development teams by providing detailed feedback on vehicle performance, reporting bugs, and documenting anomalies encountered during real-world and simulated testing. They regularly participate in cross-functional meetings to discuss test results, suggest improvements, and help prioritize software updates based on observed safety or operational issues. This collaborative process ensures the vehicles are continually refined and meet rigorous safety standards before wider deployment.
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