Drimva

General Motors

Principal Engineer - PVTP Architecture

Seattle, Washington, United States of America · Hybrid · Principal · Full-time · Posted Oct 30, 2026

Experience
15 or more years.
Education
Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Systems Engineering, or a related field; or equivalent experience.
Visa sponsorship
GM does not provide immigration-related sponsorship for this role, now or in the future.

About the job

Set the long-term architecture and roadmap for GM’s physical and virtual test platform ecosystem, aligning teams and improving reuse, reliability, scalability, and test operations.

What you'll do

  • Define platform architecture, roadmap, interfaces, APIs, and ownership boundaries across physical and virtual testing.
  • Shape AI strategy and lead complex investigations, root-cause analyses, and resolution across technical and operational domains.
  • Mentor senior engineers and align cross-organizational stakeholders on technical decisions, risks, and tradeoffs.

What they ask for

  • Bachelor’s degree in a related field or equivalent experience.
  • 15 or more years of relevant engineering experience, including production-grade systems.
  • Experience architecting complex platforms across multiple teams, technology domains, and operational environments.
  • Experience leading cross-functional technical programs through production operation and continuous improvement.

Nice to have

  • Automotive software, vehicle testing, simulation, virtualization, or physical test infrastructure experience.
  • Experience applying approved Generative AI, AI agents, and LLM-based tools to production engineering workflows.

Tools

source control, continuous integration and delivery, automated testing, observability, hardware-in-the-loop, software-in-the-loop, Generative AI, LLM-based tools

AI focus

Shape AI strategy and investment priorities; identify AI-assisted workflows, agents, and analytics to improve test execution, asset readiness, operations, and engineering productivity.

Model-written summary · the original posting is authoritative

First seen Oct 31, 2026 · Last verified Nov 5, 2026 (UTC)