Autonomy Systems Test Engineer, Zoox

• 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 prioritization skills
• Proficiency with automated test frameworks and test automation
• Experience with JIRA, GIT, Linux command line, Python, or other scripting languages
• Strong organizational, leadership, and communication skills

Desirable

• 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
• 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