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 a Senior 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 features to enable the core ability for our vehicles to choose the best routes through cities and adapt in real-time, you will oversee the development of extensive test plans, develop standardized simulated test design tooling processes to execute many different scenarios, validate end-to-end behaviors, 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.
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.
Compile triage strategy and triage results from different QA validation platforms and pipelines.
Qualifications:
Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
7+ years of experience in designing and implementing scalable software systems test strategies with excellent analytical, problem-solving, and prioritization skills
Proficiency with automated test framework and test automation
Experience with JIRA, GIT, Linux command line, Python, or other scripting languages
Strong organizational, leadership, and communication skills
Bonus Qualifications:
PhD in Computer Science, Electrical Engineering, or STEM field
Relevant industry experience in software and systems testing for robotics, autonomous mobility, or safety-critical systems.
Familiarity with ISO 26262 or other safety standards
