Staff Software Engineer, Vehicle AI Platform (Remote)

General Motors; Blacksburg (VA); Hybrid; USD 189,000 - 290,000; Full time

Benefits offered by this job

Relocation benefits

Bonus potential

Company vehicle

Job summary

General Motors is seeking a Staff Software Engineer to lead the platform engineering for the Vehicle AI Assistant on Android Automotive OS. Based in Mountain View, Seattle, or Austin, the role blends edge and cloud AI to power conversational experiences in vehicles.

You will guide architecture, delivery, and testing, while building SDKs and APIs for cross-team collaboration. This hands-on technical leadership role offers relocation support and opportunities to shape mobility's future.

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).

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 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 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.

Skills

Android development

Kotlin

Java

Android Jetpack

Coroutines/Flow

Hilt/Dagger

CI pipelines

Education

Bachelor's degree in Computer Science/Engineering

Tools

SDKs

APIs

gRPC/REST

Job description

General Motors is seeking a Staff Software Engineer to lead the platform engineering for the Vehicle AI Assistant on Android Automotive OS. Based in Mountain View, Seattle, or Austin, the role blends edge and cloud AI to power conversational experiences in vehicles.

You will guide architecture, delivery, and testing, while building SDKs and APIs for cross-team collaboration. This hands-on technical leadership role offers relocation support and opportunities to shape mobility's future.