Principal Software Engineer — In-Vehicle AI & Edge-Cloud

General Motors Company; Mountain View (CA); Hybrid; USD 239,000 - 366,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

General Motors Company in Mountain View, CA or Seattle, WA, or remote, seeks a Principal Software Engineer to lead In-Vehicle AI Assistant platform architecture across Android client and cloud services. You will shape multi-year technical vision and collaborate with Cloud AI/ML, UX, Vehicle Platform, Security, and Infrastructure teams.

This role demands deep distributed-systems expertise, strong leadership, and the ability to drive end-to-end performance, latency, and reliability while mentoring

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 12+ years of professional software development experience across client and cloud.
• Experience with Android (Kotlin/Java) and cloud microservices (REST, gRPC, streaming).
• History of cross-functional technical leadership and driving architectural alignment.

Responsibilities

• Define and own end-to-end architecture for the In-Vehicle AI Assistant platform.
• Drive cross-functional technical strategy across Cloud AI/ML, UX, Product, Security, and Data Engineering.
• Architect the hybrid edge–cloud orchestration layer for latency, cost, and offline reliability.
• Establish engineering standards and API protocols for real-time client-server communication.
• Evaluate and integrate AI/ML frameworks and LLM orchestration into the ecosystem.
• Mentor and grow Staff and Senior engineers across client and backend disciplines.

Skills

Distributed systems design

Android architecture (Kotlin/Java)

REST & gRPC

Cross-functional leadership

Low-latency networking

Roadmap planning

Education

Bachelor’s degree in Computer Science/Engineering

Tools

AAOS integration

Job description

General Motors Company in Mountain View, CA or Seattle, WA, or remote, seeks a Principal Software Engineer to lead In-Vehicle AI Assistant platform architecture across Android client and cloud services. You will shape multi-year technical vision and collaborate with Cloud AI/ML, UX, Vehicle Platform, Security, and Infrastructure teams.

This role demands deep distributed-systems expertise, strong leadership, and the ability to drive end-to-end performance, latency, and reliability while mentoring