Staff Software Engineer - Vehicle AI
General Motors
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Benefits offered by this job
Job summary
General Motors in Mountain View, CA is seeking a Staff Software Engineer to lead the AAOS-based in-vehicle AI assistant platform. You will drive architectural standards and build developer-facing APIs and SDKs while balancing edge and cloud AI capabilities.
The role requires hands-on leadership, strong Kotlin/Java Android expertise, and experience with CI pipelines, gRPC/REST, and IPC/AIDL. Location options include Mountain View, Seattle or Austin with remote/hybrid work.
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.
- 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).
Responsibilities
- 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 SDKs that enable downstream teams to plug in AI tools and vehicle capabilities.
- Implement a hybrid edge-and-cloud architecture, balancing on-device processing with cloud AI/ML services.
- Establish and scale automated testing, CI, and validation infrastructure to guarantee stability across vehicle builds.
- Partner with cross-functional AI teams to integrate model training and evaluation pipelines, benchmarking, and quality loops.
- Optimize voice and text response latency, memory footprint, and system responsiveness in-vehicle.
- Design robust application contracts using AIDL and IPC mechanisms.
- Collaborate with product management and UX teams to translate customer interactions into platform capabilities.
Skills
Education
Job description
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.
- 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.
- 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).
- 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.
- Experience with client-side machine learning integration or on-device runtime optimization.
- Hands-on experience with AI/ML evaluation pipelines, model benchmarking, and automated validation frameworks for conversational systems.
- Ability to foster a collaborative engineering culture, inspire peer developers, and communicate complex technical concepts to non-technical partners.
- History of driving technical clarity in rapidly evolving product domains.
The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area. The salary range for this role is ($189,300 - $290,000). The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
An incentive pay program offers payouts based on company performance, job level, and individual performance.
Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
This Job may be eligible for relocation benefits.
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