Lead Platform Engineer, Vehicle AI on AAOS

General Motors; Mountain View, Northern (CA, KY); Hybrid; USD 189,000 - 290,000; Full time

Benefits offered by this job

Company vehicle program

Relocation benefits

Bonus potential

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

Kotlin

Java

Android Jetpack

Coroutines

Flow

Dagger / Hilt

CI/CD

APIs / SDKs

gRPC / REST

IPC / AIDL

Education

Bachelor's degree in Computer Science or Computer Engineering

Master's degree in CS / Electrical Engineering (preferred)

Job description

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.