• 5+ Years of industry experience (autonomous vehicles/robotics) as a QA Engineer or equivalent
• B.S. in Computer Science or equivalent
• Software validation and test plan creation excites you
• Passionate about autonomous driving and consumer facing robotics
• Experience working with Linux/Unix development environments
• Experience writing Python/Bash scripts for automation
• Experience with version control tools such as Git
• Excellent communication, critical thinking and problem solving skills
• Experience leading cross-functional projects and demonstrating clear business impact

Desirable

• In this role, your main focus will be to work on a variety of verification/validation efforts to assist in the development of our autonomous delivery robot
• A primary focus of the role will be ownership of our robots autonomous behavior quality, including developing comprehensive test plans and generating scenarios that test our autonomous vehicle’s behaviors
• You will build test plans consisting of fully synthetic scenarios, simulations based on historical log data, and real world structured and unstructured testing
• Additionally, you will triage and diagnose issues from real world feature development tests as well as daily integration and weekly structured testing scenarios in order to sign off on release of new software
• You will also analyze results of the various simulated scenarios that you create as part of our verification process. Lastly, you will identify opportunities to improve efficiency, test coverage, and data visualization through automation and scripting
• Use your critical thinking skills to develop comprehensive and diverse test plans for evaluating autonomous vehicles driving behaviors
• Utilize proprietary diagnostic tools, techniques and your excellent problem solving skills to triage and diagnose robot autonomy issues accurately and efficiently
• Take ownership of ensuring the prompt analysis of issues, generating reports and data visualizations that effectively prioritize and summarize identified issues for use by engineering teams
• Collaborate cross-functionally with Operations, Program Management, and Software Engineering teams to provide an effective feedback loop of identifying, escalating, and monitoring of key issues across various systems of the autonomy stack
• Lead initiatives to improve our verification/validation strategy, encompassing process establishment, improved test coverage, data analysis and metrics evaluation