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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