Drimva

General Motors

Senior Platform Engineer – AV Cloud Engineering

$170K–$230K

Sunnyvale, California, United States of America +1 · Hybrid · Senior · Full-time · Posted Oct 5, 2026

Location
Sunnyvale, California, United States of America
Austin, Texas, United States of America
Experience
5+ years of experience, or a proven record of defining and executing technical strategy requiring coordination across multiple teams, senior executives, and front-line engineers.
Education
Bachelor’s degree in Computer Science or a related field, or equivalent work experience.

About the job

Build and operate an internal cloud platform that enables autonomous-vehicle teams to develop, test, and run workloads reliably with less operational friction.

What you'll do

  • Develop platform capabilities, self-service workflows, APIs, automation, and infrastructure abstractions, including support for GPU workloads.
  • Improve platform reliability and developer experience through tooling, service ownership, observability, SLIs/SLOs, and distributed-workload networking.
  • Lead platform initiatives from definition through adoption and collaborate with other teams; contribute through reviews, mentorship, and technical communication.

What they ask for

  • Production Kubernetes experience and familiarity with a major cloud ecosystem; GKE and GCP proficiency are specifically required elsewhere in the posting.
  • Hands-on experience implementing high-availability systems and managing production-grade cluster lifecycles.
  • Strong software engineering and DevOps skills, including Go or Python and Terraform.
  • Experience with GPU passthrough and balancing hardware performance with cloud abstractions.

Nice to have

  • Experience with Istio, large-scale DNS or traffic management, or equivalent service-mesh technologies.
  • Experience supporting AI/ML workloads or working with ML platforms and tooling.

Pay

$170,000 to $230,000 USD base salary

Tools

Kubernetes, GKE, Google Cloud Platform (GCP), Golang, Python, Terraform, Istio, AWS

AI focus

May support AI/ML workloads or ML platforms and related tooling; this is listed as preferred experience.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)