General Motors
Senior Software Engineering Manager, Enterprise Software Engineering
Austin, Texas, United States of America +1 · Hybrid · Manager · Full-time · Posted Oct 1, 2026
- Location
- Austin, Texas, United States of America
Warren, Michigan, United States of America - Experience
- 10+ years of software engineering and people leadership, including leading multiple teams; 1+ year of substantial hands-on production use of AI coding agents. Preferred: 12+ years of software engineering and 7+ years in engineering leadership.
- Education
- BS in Computer Science or a related field, or equivalent practical experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role; applicants who will need GM immigration sponsorship now or in the future should not apply.
About the job
Leads multiple teams building and modernizing GM’s enterprise software platforms while remaining hands-on and expanding the use of AI coding agents across software development.
What you'll do
- Lead engineering teams and deliver technical roadmaps for platforms, APIs, integrations, and legacy systems.
- Set architecture and engineering standards; contribute through code reviews, debugging, prototypes, and incident response.
- Deploy and measure AI coding agents and agent tooling across the software development lifecycle.
What they ask for
- BS in Computer Science or a related field, or equivalent practical experience.
- 10+ years of software engineering and people leadership experience, including leading multiple teams.
- Current hands-on coding proficiency in Java or C++, plus experience with Angular or React.
- At least 1 year of substantial hands-on use of AI coding agents in production work.
Nice to have
- Experience leading organization-wide agentic development adoption with measured gains.
- Experience with LLM APIs, MCP, retrieval, and evaluation harnesses.
Tools
Java, C++, Angular, React, Azure, AWS, GCP, MCP
AI focus
Roll out AI coding agents across the software development lifecycle; build agent tooling such as MCP servers, custom agents, and agent-driven CI/CD; measure results and establish safeguards for agent-written code.
Model-written summary · the original posting is authoritative