Staff Software Engineer – Vehicle AI

General Motors

Staff Software Engineer leading General Motors’ Android Automotive vehicle AI platform. Architecting AI assistant infrastructure, SDKs, CI, and edge-cloud capabilities for connected vehicles.

Posted 9/9/2026full-timeMountain View • California, Texas, Washington • 🇺🇸 United StatesLead💰 $189,300 - $290,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Android Automotive OS application architecture, with a strong focus on scalable design, automated testing, and integration of AI/ML services. Proven ability to lead technical teams and drive high-quality software execution while optimizing system performance.

Highest-signal resume keywords

Android Application ArchitectureKotlin and Java ProficiencyAutomated Testing and CI PipelinesAI/ML Integration and OptimizationTechnical Leadership in Software Execution

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Android JetpackCoroutinesFlowDependency Injection (Hilt, Dagger)AIDLIPC MechanismsClient-Server ArchitecturesGRPCREST ProtocolsVoice Assistant Integration

Soft Skills

CollaborationTechnical LeadershipCommunication

Tools & Technologies

Automated Validation FrameworksModel BenchmarkingContinuous Integration Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Computer Science or Electrical Engineering (Preferred)

Industry Keywords

In-Vehicle AI AssistantAutomotive PlatformsConversational FrameworksMobile Software Platforms

Tech Stack

Tools & technologies

AndroidCloudDaggerGRPCJavaKotlin

About the role

Key responsibilities & impact

Lead architectural design and execution of GM’s in-vehicle AI assistant application platform on Android Automotive OS
Drive engineering execution, technical roadmaps, code quality standards, and system design best practices
Architect scalable application interfaces and SDKs for downstream teams integrating specialized AI tools and vehicle capabilities
Implement hybrid edge-and-cloud architecture for low-latency on-device processing and cloud AI/ML services
Establish and scale automated testing, CI, and validation infrastructure across vehicle builds
Integrate model training and evaluation pipelines, system benchmarking, and quality feedback loops into platform deployment
Optimize voice and text response latency, memory footprint, and in-vehicle system responsiveness
Design application contracts using AIDL and IPC mechanisms
Collaborate with product management and user experience teams to translate customer interactions into platform capabilities

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience
8+ years of professional software development experience, primarily focused on production Android application architecture
Proven technical leadership in architecture decisions and software execution across engineering teams
Expert proficiency in Kotlin and Java
Expertise with Android Jetpack, Coroutines, Flow, and dependency injection frameworks such as Hilt or Dagger
Experience designing developer-facing APIs, platform SDKs, or shared application libraries
Experience establishing automated testing strategies and Continuous Integration (CI) pipelines for mobile software platforms
Experience with client-server architectures using streaming, gRPC, or REST protocols
Strong knowledge of Android application components, lifecycle management, and IPC/AIDL
Master’s degree in Computer Science, Electrical Engineering, or related field is preferred
Preferred experience with voice assistants, conversational frameworks, or agentic applications on mobile or automotive platforms
Familiarity with Android Automotive OS (AAOS) applications is preferred
Experience with client-side machine learning integration or on-device runtime optimization
Experience with AI/ML evaluation pipelines, model benchmarking, and automated validation frameworks for conversational systems

Benefits

Comp & perks

Bonus potential through an incentive pay program based on company performance, job level, and individual performance
Company vehicle evaluation program, including assignment of a General Motors vehicle to drive and evaluate, subject to eligibility and vehicle purchase/lease requirements
Relocation benefits may be available
Benefits supporting employee well-being at work and home
Reasonable workplace accommodations for individuals with disabilities