Staff Software Engineer - Vehicle AI

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.

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 Integration (CI), and validation infrastructure to guarantee stability and performance across vehicle builds. Partner with cross-functional AI teams to integrate model training and evaluation pipelines, system benchmarking, and quality feedback loops into the platform deployment lifecycle. Optimize voice and text response latency, memory footprint, and system responsiveness within the vehicle environment. Design robust application contracts using Android Interface Definition Language (AIDL) and Inter-Process Communication (IPC) mechanisms. Collaborate closely with product management and user experience teams to translate customer interactions into resilient platform capabilities. Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience. 8+ years of professional software development experience, with a primary focus on production Android application architecture. Proven track record as a technical lead, driving architecture decisions and guiding software execution across engineering teams. Expert proficiency in Kotlin and Java, along with modern Android frameworks (Android Jetpack, Coroutines, Flow, and Dependency Injection frameworks such as Hilt or Dagger). Hands-on experience designing developer-facing APIs, platform SDKs, or shared application libraries. Demonstrated experience setting up robust automated testing strategies and Continuous Integration (CI) pipelines for mobile software platforms. Experience working with client-server architectures using streaming, gRPC, or REST protocols. Strong knowledge of Android application components, lifecycle management, and Inter-Process Communication (IPC/AIDL). What Can Give You a Competitive Advantage (Preferred Qualifications) Master’s degree in Computer Science, Electrical Engineering, or a related field. Prior experience building voice assistants, conversational frameworks, or agentic applications on mobile or automotive platforms. Familiarity with Android Automotive OS (AAOS) applications.