Autonomous Vehicle Test Engineer

Job description

Job responsibilities

• Execute defined AV test scenarios on vehicles, following safety procedures and ensuring data accuracy and alignment with program test objectives.
• Triage and diagnose basic software and hardware issues, reproducing issues and escalating complex findings to developers, systems engineering, and vehicle integration for root‑cause analysis.
• Analyze vehicle and autonomy data at a foundational level, transforming logs into clear observations and contributing to validation reports, defect tracking, and release‑readiness assessments.
• Support the setup and use of test tools and logging systems, including Vector, Intrepid, INCA, d-Space, and other measurement/automation platforms.
• Assist with cross‑functional test pipelines—tracking requests, test execution status, and progress updates in collaboration with software engineering, operations, and systems engineering.
• Ensure test quality and documentation completeness by maintaining accurate test cases, results, and traceability in tools such as Jira, Confluence, and other test management platforms.
• Execute verification tasks for new builds, validate integration points across the autonomy stack, and confirm performance against acceptance criteria with guidance from senior team members.
• Contribute to continuous improvement by identifying opportunities to enhance test coverage, automation, data workflows, and operational efficiency, and by adopting best practices and standards.

Job requirements

• Solid cross‑functional collaboration skills; able to work effectively with software and hardware teams.
• Ability to follow and help develop detailed test plans and procedures; familiarity with writing test cases.
• Working knowledge of integration processes, validation methods, and the Software Development Life Cycle (SDLC).
• Fundamental troubleshooting, data analysis, and test result reporting skills.
• Familiarity with test management and collaboration tools (e.g., Jira, Confluence, Slack).
• Foundational understanding of automotive networks and protocols (CAN, Ethernet, LIN).
• Basic understanding of vehicle/autonomy data and integration testing; ability to learn new tools and methods quickly.
• Exposure to software integration and logging tools (Vector, Intrepid, INCA, dSpace) is preferred; willingness to upskill is expected.