layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Autonomous Vehicle Test Engineer at General Motors | LAYIQ

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.
Recommended Skills & Qualifications
Technical Skills: 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.
Ability to assist in debugging software stacks and to partner with developers on issue resolution.
Knowledge of hardware/software interfaces and the autonomy software stack for assigned systems (introductory to intermediate level).
Familiarity with software release tools and environments (e.g., Jenkins, Artifactory, SPR, Linux).
Experience contributing to development from early build through launch (coursework, internships, or prior roles).

Autonomous Vehicle Test Engineer

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