Staff Software Engineer - Vehicle AI

Job Description

Work Arrangement

This role is categorized as Remote/ hybrid . This means the successful candidate is expected to report to Austin, TX , Mountain View, CA or Remote (Washington State) three times per week at minimum or other frequency dictated by the business.

The Role

General Motors is pioneering the future of in-vehicle intelligence, and we are looking for a Staff Software Engineer to lead the platform engineering for our next-generation Vehicle AI Assistant. In this role, you will lead the design and development of the core application platform running on Android Automotive OS (AAOS), bridging edge and cloud AI technologies to power seamless, conversational, and agentic experiences for millions of drivers.

As a hands-on Technical Lead based in our Mountain View, CA or Seattle, WA or Austin, TX offices, you will drive technical execution, set architectural standards, build robust CI and validation infrastructure, and deliver developer-facing frameworks that enable feature teams across GM to ship AI-driven capabilities. If you thrive at the intersection of modern Android development, AI integration, and technical leadership, this role offers the opportunity to shape the future of mobility.

What You’ll Do

• Lead the architectural design and execution of GM’s in-vehicle AI assistant application platform on top of Android Automotive OS (AAOS).
• Drive engineering execution for a team of software engineers, establishing technical roadmaps, code quality standards, and system design best practices.
• Architect scalable application interfaces and Software Development Kits (SDKs) that enable downstream teams to plug in specialized AI tools and vehicle capabilities.
• Implement a hybrid edge-and-cloud architecture, balancing low-latency on-device processing with advanced cloud-based Artificial Intelligence / Machine Learning (AI/ML) services.
• Establish and scale automated testing, Continuous Int