Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
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 behaviors, 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, analyze 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.
About Zoox
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] or your assigned recruiter.
A Final Note:
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.
In this role, you will:
Create test strategies and test plans for Zoox’s self-driving behavior 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.Qualifications:
Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field4+ years of experience in designing and implementing scalable software systems test strategies with excellent analytical, problem-solving, and prioritization skillsProficiency with automated test frameworks and test automationExperience with JIRA, GIT, Linux command line, Python, or other scripting languages Strong organizational, leadership, and communication skillsBonus Qualifications:
Relevant industry experience in software and systems testing for robotics, autonomous mobility, or safety-critical systemsFamiliarity with ISO 26262 or other safety standards