Principal In-Vehicle AI Platform Engineer

General Motors LLC; Austin (TX); Hybrid; USD 239,000 - 366,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

General Motors is seeking a Principal Software Engineer to lead the In-Vehicle AI Assistant platform, spanning AAOS client and cloud orchestration. The role focuses on cabin intelligence, voice interaction, and scalable edge-to-cloud systems with cross-functional collaboration across Cloud AI/ML, UX, Vehicle Platform, Security, and Infrastructure teams.

You will shape multi-year technical vision, drive cross-team alignment, and mentor Staff and Senior engineers, while optimizing latency and

Qualifications

• BS in CS/Engineering or equivalent experience.
• 12+ years of software development across client and cloud.
• Strong Android client and cloud backend knowledge.

Responsibilities

• Define end-to-end architecture for In-Vehicle AI platform.
• Lead cross-functional technical strategy across teams.
• Design edge-cloud orchestration prioritizing latency and cost.
• Set engineering standards for high-performance APIs.
• Evaluate AI/LLM frameworks for in-cabin systems.
• Resolve architectural dependencies and improve reliability.
• Drive testing pipelines and telemetry for latency and accuracy.
• Mentor senior engineers and foster architectural rigor.

Skills

Distributed systems

Android

gRPC

APIs

Cloud microservices

Cross-functional leadership

Low latency

Roadmaps

Mentoring

Architectural strategy

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Android Studio

REST

Streaming APIs

Job description

General Motors is seeking a Principal Software Engineer to lead the In-Vehicle AI Assistant platform, spanning AAOS client and cloud orchestration. The role focuses on cabin intelligence, voice interaction, and scalable edge-to-cloud systems with cross-functional collaboration across Cloud AI/ML, UX, Vehicle Platform, Security, and Infrastructure teams.

You will shape multi-year technical vision, drive cross-team alignment, and mentor Staff and Senior engineers, while optimizing latency and