Part-time student role creating test strategies, plans, and automated scenarios for Zoox self-driving software. Requires current MS enrollment, test automation proficiency, Python/Linux experience, and on-site availability in Foster City.
Salary not listed
On-siteEntry levelQA Engineering
About the role
Responsibilities
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 driving software features 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.
Lead cross-functional QA participation in various testing pipelines, initiatives, and enablement projects.
Participate regularly in in-vehicle testing missions, triage and root cause issues seen during testing, analyze test results to ensure existing functionality does not regress, and update testing processes.
Requirements
Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
0-2 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.
Currently enrolled in M.S. program in a relevant discipline.
Available to commit to a minimum 6 month assignment.
Able to commit a minimum of 40 hours per week.
Able to work on-site in Foster City, California.
Must adhere with Zoox confidentiality requirements.
Skills
PythonLinuxJiraGittest automationsimulation testingqa testingRoot Cause Analysis
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