Descripción

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Senior Software Test Engineer – Retail Data

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to Milford Proving Ground in Milford, MI three times per week, at minimum.

The Role
Help shape the future of transportation at GM. The AV Fleet Data Engineering Team is responsible for defining, integrating, and validating Retail AV Data Collection pipelines that power automated driving development at scale. We are seeking a Senior Software Test Engineer to lead automation and execution of vehicle-based and cloud‑connected data collection systems.

The Senior Software Test Engineer is responsible for building and executing validation strategies for GM’s on-vehicle and bench-based data recording stack (RADC and ASDR), with a focus on automated test development, CI/CD, and end-to-end data quality and performance benchmarking . The role spans bench and vehicle integration , OTA release validation , and deep data analysis , leveraging AI agents and automation tooling to streamline workflows and reduce manual effort. The engineer works closely with SW and platform teams to ensure robust, scalable data collection in support of current and future ADAS/AV programs.

What You'll Do

Own RADC validation for key programs including test planning, execution (bench and vehicle), and defect triage for data recording behavior.
Develop, maintain, and extend RADC CI/CD and validation automation (Autobot, ATP/Jenkins), including reusable pipelines, scripts, and AI-assisted workflows to accelerate test authoring, log triage, and report generation.
Lead CI/CD bench readiness for RADC benches: ensure hardware and software baselines are aligned with target configurations, flashing flows are automated and reliable, and benches are continuously available for automated regression and feature validation.
Design and execute performance and quality benchmarks for VTM tasks (e.g., 1411 HoLCA and 1414 SC OpStats), including test definition, drive/bench execution, and analysis of upload latency, completeness, and data integrity.
Set up and maintain RADC benches , including ECU wiring, power supply and relay integration, Autobot keyword integration, and ensuring the bench is representative of fleet configurations for test campaigns.
Integrate new camera and consent features into benches and test plans, including Autobot/Robot test development and Confluence/Jira documentation of procedures.
Author and maintain technical documentation and training content (bench setup guides, test repositories, SDV2 execution planning notes, Xray repository structure) to scale data-recording validation across teams and programs.
Collaborate closely with cross-functional partners to align validation priorities, communicate risk, and drive closure on complex multi-team issues.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Electrical/Computer/Software Engineering or related field, or equivalent experience.
Minimum of 5 years of engineering/technical experience
Hands-on experience with on-vehicle or bench and interpreting associated logs and metrics.
Proficiency in scripting/automation (Python, Robot Framework, or similar) for test authoring, data analysis, and tooling glue code.

What Will Give You A Competitive Edge (Preferred Qualifications)

Experience with CI/CD and test automation frameworks (e.g., Jenkins/ATP, Autobot, Xray) and maintaining bench environments as CI/CD targets (agent setup, flashing automation, health checks, monitoring).
Demonstrated ability to debug complex, cross-component issues (signals, consent, memory, OTA, deployment) and drive them to resolution across multiple teams.

Familiarity with Azure-hosted data lakes, Centra dashboards, and Elastic/Xray-based analysis for large-scale data quality and performance evaluation.
Experience applying AI agents and LLM-based tools to engineering workflows (e.g., log summarization, test-case generation, documentation, pipeline or config generation), with a bias toward measurable automation and efficiency gains .
Proven experience training or mentoring others on tools, processes, or architecture (e.g., running internal trainings, authoring how-to guides, leading forums).
Demonstrated orientation toward continuous improvement and technical leadership , including identifying process gaps and driving automation/efficiency initiatives.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Este puesto se clasifica como híbrido. Esto significa que se espera que el candidato seleccionado se presente en una ubicación específica al menos 3 veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto no es elegible para beneficios de reubicación. Los posibles costos de relocalización serán responsabilidad del candidato seleccionado.

Información sobre diversidad

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Adecuaciones (EE.UU. y Canadá)

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