Autonomy Systems Test Engineer

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Autonomous vehicles run some of the most complex software ever deployed in a safety‑critical environment—solving this is one of the defining technical challenges of our time. As an Autonomy Systems Test Engineer at Zoox, you will accelerate product development by ensuring our autonomous driving software is safe, reliable, and scalable. You will design and execute comprehensive test plans, build standardized simulation and test tooling, validate end‑to‑end behaviours, and develop triage pipelines for issues discovered in simulation and on‑vehicle testing.

These efforts surface failure modes, regressions, and implementation bugs introduced by new features. You will regularly participate in in‑vehicle testing, analyse results, root‑cause issues, and continuously improve testing processes to support Zoox’s growing milestones. Your ability to distill complex systems into actionable insights will be critical to delivering a safe and stable vehicle platform.

• Create test strategies and test plans for Zoox’s self‑driving behaviour features.
• Identify, track, report, and resolve test strategy, planning or implementation issues with cross‑functional software development teams.
• Propose, prototype, and validate a new testing methodology for the AI stack using automated metrics.
• Design, develop, and execute synthetic and log‑based test scenarios on an in‑house simulation test framework.

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
• 4+ years of experience in designing and implementing scalable software systems test strategies with excellent analytical, problem‑solving and prioritisation skills
• Proficiency with automated test frameworks and test automation
• Experience with JIRA, GIT, Linux command line, Python or other scripting languages
• Strong organisational, leadership and communication skills

• Relevant industry experience in software and systems testing for robotics, autonomous mobility or safety‑critical systems
• Familiarity with ISO 26262 or other safety standards

$150,000 - $185,000 a year

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign‑on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate’s relevant years of experience, domain knowledge and interview performance.

The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long‑term care insurance, long‑term and short‑term disability insurance and life insurance.

Zoox is developing the first ground‑up fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning and design, Zoox aims to provide the next generation of mobility‑as‑a‑service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast‑moving and highly execution‑oriented team.

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analysing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Not Applicable

Full‑time

Quality Assurance

Automotive

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