General Motors
Sr. Software Engineer - AI Quality and Productivity
Warren, Michigan, United States of America +1 · Hybrid · Senior · Full-time · Posted Sep 3, 2026
- Location
- Warren, Michigan, United States of America
Austin, Texas, United States of America - Experience
- 6+ years in enterprise or full-stack software delivery; 3+ years with complex SQL; 3+ years with Kubernetes/Docker, Quarkus, and cloud platforms. Preferred: 10+ years in enterprise-grade or global, scalable applications.
- Education
- Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants must not need GM immigration sponsorship now or in the future.
About the job
Develops data-intensive, AI-enabled software and data solutions for GM Product Development and Quality teams, with responsibility for design, delivery, reliability, and engineering guidance.
What you'll do
- Build and maintain data-driven applications, services, SQL transformations, Databricks pipelines, and Java/Python APIs.
- Productionize AI/ML and LLM solutions with data science teams; improve quality, performance, security, and reliability.
- Lead solution design and engineering practices, troubleshoot production issues, and mentor software engineers.
What they ask for
- Bachelor’s degree in a related field or equivalent experience.
- 6+ years delivering enterprise or full-stack software solutions using Java/JEE and Python; Angular preferred.
- 3+ years with complex SQL queries, functions, and stored procedures, including performance tuning.
- 3+ years with Kubernetes/Docker, Quarkus, and a cloud platform such as Azure, AWS, or GCP.
Nice to have
- Master’s degree in a related field.
- 10+ years delivering enterprise-grade or global, scalable software applications, including data-intensive or analytics-focused solutions.
Tools
Java / JEE, Python, Angular, SQL, Databricks, Spark, Kubernetes/Docker, Quarkus
AI focus
Develops AI-enabled applications and partners with data science and AI teams to productionize AI/ML and LLM solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement.
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