Staff GPU Cluster Automation Engineer

Atoms; San Francisco (CA); On-site; USD 224,000 - 284,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k)

Unlimited Flexible Time Off

Team lunch every Tuesday and Thursday

Job summary

Atoms is seeking an experienced engineer in San Francisco to manage GPU training clusters and automate operations. You will work with hardware and software at a critical level.

The ideal candidate has over 6 years of experience with GPU compute on Kubernetes and strong programming skills in Python or Go. This role offers a competitive salary and comprehensive benefits including medical, dental, and 401(k).

Qualifications

• 6+ years experience operating GPU compute on Kubernetes.
• Strong programming and scripting skills in Python, Go, or similar.
• Familiarity with Infrastructure-as-Code tools such as Terraform or CloudFormation.

Responsibilities

• Manage and automate GPU training clusters and lifecycle management.
• Automate bare-metal bring-up quickly and reliably.
• Build software abstractions for training and simulation workloads.

Skills

Operating GPU compute on Kubernetes

Programming and scripting in Python or Go

Infrastructure-as-Code tools

Bare-metal Linux environments

Automation and reliability

Job description

Atoms is seeking an experienced engineer in San Francisco to manage GPU training clusters and automate operations. You will work with hardware and software at a critical level.

The ideal candidate has over 6 years of experience with GPU compute on Kubernetes and strong programming skills in Python or Go. This role offers a competitive salary and comprehensive benefits including medical, dental, and 401(k).