Atoms
Staff Cluster Infrastructure Engineer
$224K–$284K
San Francisco, CA +1 · Staff · Full-time · Posted Jun 26, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 6+ years operating GPU compute on Kubernetes or similar orchestration.
About the job
Own and scale the GPU compute infrastructure used to train foundation models and support training and simulation workloads.
What you'll do
- Manage and automate GPU training clusters, including provisioning, bare-metal bring-up, and lifecycle management.
- Build software abstractions for training and simulation workloads and improve infrastructure scalability, reliability, and uptime.
- Operate the clusters day to day by diagnosing and resolving system issues.
What they ask for
- 6+ years of experience operating GPU compute on Kubernetes or similar orchestration.
- Strong programming and scripting skills in Python, Go, or similar.
- Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Comfort with bare-metal Linux environments, GPU hardware, and networking.
Pay
$224,000 - $284,000 per year (base salary)
Tools
Kubernetes, Python, Go, Terraform, CloudFormation, Linux
AI focus
Operate and scale GPU infrastructure for training foundation models and supporting simulation workloads.
Model-written summary · the original posting is authoritative