Senior Software Engineer, DGX Cloud Production Engineering

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.

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.

Clear communication and ability to work across teams.

BS/MS in Computer Science or equivalent experience.

Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, or fleet automation.

Experience with SLOs, on-call, incident response, observability, and reliability practices.

Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hard-working people on the planet working for us. If you're creative, hard-working and self-motivated, we want to hear from you!

You will also be eligible for equity and benefits .

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.