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Senior Software Test Engineer – Retail Data
General Motors. Define, integrate, and validate Retail AV Data Collection pipelines .
Tech Stack
Tools & technologiesAzureJenkinsPython
About the role
Key responsibilities & impact- Define, integrate, and validate Retail AV Data Collection pipelines
- Build and execute validation strategies for GM’s on-vehicle and bench-based data recording stack (RADC and ASDR)
- Develop, maintain, and extend RADC CI/CD and validation automation using Autobot, ATP/Jenkins, reusable pipelines, scripts, and AI-assisted workflows
- Lead CI/CD bench readiness, including hardware/software baseline alignment, automated flashing flows, and bench availability for regression and feature validation
- Design and execute VTM performance and quality benchmarks
- Analyze upload latency, completeness, and data integrity
- Set up and maintain RADC benches, including ECU wiring, power supply and relay integration, and Autobot keyword integration
- Integrate camera and consent features into benches and test plans
- Develop Autobot/Robot tests and document procedures in Confluence/Jira
- Author technical documentation and training content
- Collaborate with cross-functional software and platform teams to align priorities, communicate risk, and resolve complex issues
Requirements
What you’ll need- 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 systems and interpreting associated logs and metrics
- Proficiency in scripting/automation using Python, Robot Framework, or similar
- Experience with CI/CD and test automation frameworks such as Jenkins/ATP, Autobot, and Xray
- Experience maintaining bench environments as CI/CD targets, including agent setup, flashing automation, health checks, and monitoring
- Ability to debug complex cross-component issues and drive resolution across multiple teams
- Familiarity with Azure-hosted data lakes, Centra dashboards, and Elastic/Xray-based analysis
- Experience applying AI agents and LLM-based tools to engineering workflows
- Experience training or mentoring others on tools, processes, or architecture
- Ability to legally operate a motor vehicle regularly and successfully complete a Motor Vehicle Report review
- Must not require GM immigration sponsorship now or in the future
Benefits
Comp & perks- Benefits supporting well-being at work and at home
- Total Rewards resources
- Inclusive workplace and belonging culture
- Equal employment opportunity
- Reasonable accommodations for applicants with disabilities
- No relocation benefits; relocation costs are the selected candidate’s responsibility