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EngineeringHybrid

Autonomy System Test Engineer

Zoox · Hybrid

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Last seen by MeritLog September 9, 2026Source: LeverSource version: lever-postings-v1

MeritLog read this listing from Zoox's Lever job board and last checked it on September 9, 2026.

Source: the employer's Lever job board. Open the original listing for current details.

Job details

Work model
Hybrid
Salary
$144,000 - $193,000
Location
Foster City, CA

Hiring context

How this role compares at Zoox

Zoox has 245 live roles in MeritLog’s catalog across 11 job families, and 129 of them are in engineering. 231 of those listings publish a pay range, a disclosure rate of 94%.

This role's posted range of $144,000 - $193,000 sits above 11% of the 224 other Zoox roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

Autonomous vehicles have some of the largest, most complex software ever shipped in a safety-critical environment. Solving that problem is one of the most exciting technical challenges of our lifetime.   As an Autonomy Systems Test Engineer at Zoox, you will help accelerate our product development by helping our developers build the safest and most reliable autonomous driving software possible. As developers build new features, you will oversee the development of extensive test plans, develop standardized simulated test design tooling processes to execute many different scenarios and put together triage pipelines for analyzing issues seen during offline and on-vehicle testing. These efforts are critical to exposing unforeseen failure modes, implementation bugs, and other issues as a result of new feature development. You will participate regularly in in-vehicle testing missions where you will see these new features behaving in the real world. Following these missions, you will help triage and root cause issues seen during testing, analyze test results to ensure existing functionality does not regress from release to release, and update our testing processes to ensure QA can continue scaling efficiently with future Zoox milestones. Your ability to distill complex systems and root cause issues will be critical to producing a safe and stable vehicle platform.

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