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
- 5+ 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
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What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
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