Senior Cloud Infra Engineer: GPU Cluster Automation

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks a Senior Software Engineer to build and operate a large-scale GPU infrastructure for AI workloads. You'll automate large-scale GPU clusters, develop tools, and improve workflows within a production engineering team focused on Kubernetes.

With 8+ years of experience required, candidates should have strong skills in Python or Go, expertise in Linux and Kubernetes, and a BS/MS in Computer Science. Salary ranges from 184,000 to 356,500 USD based on level and experience, along with equity and benefits.

Qualifications

• 8+ years of experience building or operating production infrastructure.
• Experience with managing distributed systems in production.
• Clear communication and collaboration skills.

Responsibilities

• Build and operate automation for large-scale GPU clusters.
• Develop tools for cluster lifecycle operations.
• Partner with teams to ensure infrastructure readiness.

Skills

Python

Go

Kubernetes

Linux

Cloud infrastructure

Infrastructure automation

Education

BS/MS in Computer Science or equivalent experience

Tools

GitOps

Terraform

ArgoCD

Job description

NVIDIA seeks a Senior Software Engineer to build and operate a large-scale GPU infrastructure for AI workloads. You'll automate large-scale GPU clusters, develop tools, and improve workflows within a production engineering team focused on Kubernetes.

With 8+ years of experience required, candidates should have strong skills in Python or Go, expertise in Linux and Kubernetes, and a BS/MS in Computer Science. Salary ranges from 184,000 to 356,500 USD based on level and experience, along with equity and benefits.