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Tesla Software QA Engineer Self-Driving United States, California, Palo Alto 232765913
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As a Software QA Engineer, you will be responsible for validating all current and future Autopilot features on the path to Unsupervised Full Self-Driving. You will work closely with the development team to drive the validation of new and existing Autopilot features, and you will be responsible for reporting and investigating issues that are detected in the field. The work you do will directly impact the experience that our customers around the world have with Autopilot. You will work with teams in the US, Europe, and Asia. This will require you to be flexible in terms of when you start or end your workday. A strong candidate will possess excellent quality assurance skills with a great attention to detail, have prior industry experience testing sensory-based robotics motion, planning and controls features, artificial intelligence, have a self-driven attitude, and a passion to deliver the highest quality software possible.
- Help transition Tesla’s Autopilot to Unsupervised Full Self-Driving by developing & validating features including Full Self-Driving (Supervised), Autosteer, Autopark, Navigate on Autopilot, Smart Summon, and more
- Support in maintaining existing tooling/automation/simulation code and pitch your own validation requirements to the tooling team on new tooling projects
- Perform functional, stress, and performance tests on multiple levels within the system including vehicle software simulation, hardware-in-the-loop automation, and in-vehicle testing
- Leverage Tesla’s vast telemetry pipeline to monitor Autopilot performance in the field
- Identify effective test strategies for new/existing features and craft test plans accordingly
- Analyze issues detected during your tests or reported by others and work closely with firmware developers to fix issues and validate software changes
- Review of system requirements for testability and make sure software meets federal and internal requirements
- Create data visualizations and metrics
- Evidence of solid coding skills in Python or C++. A live coding test will be part of the interview procedure
- Very strong English communication skills in conversation and writing (CEFR C1 level minimum, no certificate needed)
- Degree in Computer Science/Computer Engineering/Software Engineering, Information Systems, Electrical Engineering, Embedded Systems Engineering, or the equivalent in practical experience and evidence of exceptional ability
- Several years of experience feature validation in the field of automotive, aerospace, nautical or robotic systems, embedded or system-level software, or consumer electronics hardware/software. Manual test execution is not considered as relevant experience
- Evidence of hands-on experience troubleshooting on both software and hardware level
- Outstanding attention to detail
- Flexibility of traveling to various domestic and international destinations when necessary, to test vehicles on public roads, test tracks and proving grounds
- Valid driver’s license
- Experience testing ADAS features, and/or experience testing computer vision systems a big plus but not a must. Candidates with strong validation and test-automation experience from other fields of work, are welcomed to apply
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