Staff / Principal Software Engineer, In-Vehicle AI Experiences

GM • Mountain View, CA

2d • Hybrid

About The Position

GM’s Vehicle AI Experiences team is building the next generation of intelligent experiences for GM vehicles. Our mandate is simple: own what the driver can do and how it feels. We are seeking hands-on Staff and Principal Software Engineers who can turn ambiguous customer problems into high-quality, production-ready experiences. You will work primarily in Kotlin and Android Automotive, while owning features across the broader in-vehicle assistant stack—including conversation design, natural language understanding, LLM behavior, vehicle integration, connected services, and UI. The center of gravity for this role is product engineering rather than AI research or agent-platform specialization. We value broad engineering judgment, rapid learning, and a record of shipping complete products more than expertise in any particular AI framework. This is a small, fast-moving team. You will have substantial autonomy, remain close to the code, help determine what we build, and improve how the larger organization delivers software.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Significant experience building and shipping production software: Staff: Minimum 8+ years. Principal: Minimum 10+ years.
• Strong hands-on software development skills in Kotlin, Java, C++, Python, or a comparable language, with the ability and interest to work primarily in Kotlin and Android.
• A record of independently delivering complex, user-facing features across multiple components or systems.
• Ability to turn ambiguous customer or business goals into concrete designs, incremental plans, and working software.
• Strong system-design, debugging, testing, and operational-quality judgment.
• Experience leading technical work across organizational or functional boundaries.
• Clear communication with engineers, designers, product partners, and technical leadership.
• Demonstrated ability to learn unfamiliar technologies quickly and apply them pragmatically.
• Experience using modern AI-assisted software-development workflows effectively and responsibly.

Nice To Haves

• Android or Android Automotive OS, including Kotlin, Jetpack Compose, Android services, IPC, or system applications.
• Automotive, infotainment, embedded, robotics, consumer-device, or other resource-constrained software.
• Vehicle integration, including VHAL, vehicle services, signals, APIs, or automotive networks.
• Voice assistants or conversational products involving ASR, NLU, TTS, dialogue systems, or conversation evaluation.
• LLM-enabled product development, including tool use, orchestration, prompt design, grounding, evaluation, or fallback behavior.
• Building intuitive UX for multimodal or safety-conscious environments.
• Python, cloud-connected services, authentication, or distributed systems.
• Automated testing, observability, performance analysis, CI/CD, and field-quality feedback systems.

Responsibilities

• Define and build driver-facing capabilities from concept through production.
• Own features end to end—from the driver’s request and conversational behavior through on-device fulfillment, vehicle integration, UI, validation, and iteration.
• Write production Kotlin and contribute across adjacent technologies such as Python-based agent definitions, NLU, LLM orchestration, APIs, and connected services.
• Rapidly prototype new experiences, evaluate them in realistic vehicle environments, and turn successful ideas into reliable products.
• Partner with Product, UX, conversation design, vehicle software, systems, platform, safety, privacy, and validation teams.
• Make pragmatic tradeoffs among customer value, speed, reliability, latency, offline behavior, resource constraints, maintainability, and driver distraction.
• Diagnose complex issues across application, assistant, vehicle, and cloud boundaries.
• Use AI-assisted development workflows to accelerate design, implementation, testing, debugging, and codebase understanding while maintaining a high quality bar.
• Establish reusable engineering patterns and lightweight workflows that help the team deliver faster.
• Mentor engineers through implementation, design reviews, code reviews, and direct technical collaboration.
• Help shape the roadmap for in-vehicle AI experiences and identify opportunities that emerging technology makes possible.

Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• Company Vehicle : 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.
• This Job may be eligible for relocation benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal