Senior GPU Cloud Production Engineer (Remote)

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity

Full health benefits

Retirement plan

Job summary

NVIDIA DGX Cloud Production Engineering is seeking a Senior Software Engineer in Santa Clara to help build automation, tooling, and operational systems for large-scale GPU clusters. You will work on Kubernetes-based infrastructure, GitOps, and production reliability across cloud and on-prem environments.

We value 8+ years in production infra, strong Python/Go skills, and expertise with Kubernetes, Linux, and cloud tooling. This role offers equity and benefits, with remote options in the US.

Qualifications

• 8+ years of experience building or operating production infrastructure.
• Strong programming skills in Python, Go, or similar.
• Experience with Linux, Kubernetes, containers, cloud infrastructure, or infrastructure automation.
• Ability to troubleshoot distributed systems in production.
• BS/MS in Computer Science or equivalent experience.

Responsibilities

• Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments.
• Develop tools and services for provisioning, validation, upgrades, monitoring, repair, and cluster lifecycle operations.
• Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup, handoff, and production operations.
• Reduce manual production touches through APIs, GitOps, automation, and agent-assisted workflows.
• Participate in on-call, incident response, debugging, and durable follow-up work.
• Partner with platform, storage, networking, security, and workload teams to make infrastructure production-ready.

Skills

Python

Go

Kubernetes

Linux

Distributed systems

GitOps

Education

BS/MS in Computer Science

Tools

Terraform

ArgoCD

GitOps

Docker

Job description

NVIDIA DGX Cloud Production Engineering is seeking a Senior Software Engineer in Santa Clara to help build automation, tooling, and operational systems for large-scale GPU clusters. You will work on Kubernetes-based infrastructure, GitOps, and production reliability across cloud and on-prem environments.

We value 8+ years in production infra, strong Python/Go skills, and expertise with Kubernetes, Linux, and cloud tooling. This role offers equity and benefits, with remote options in the US.