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# Senior Software Engineer, DGX Cloud Production Engineering

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $184,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Computer Clusters, Computer Programming, Software Debugging, Linux, Distributed Systems, Python (Programming Language), Multi-Cloud, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Hardware Infrastructure, Terraform
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--DGX-Cloud-Production-Engineering_JR2018817

## About the Role

* 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.

Ways to stand out from the crowd:

 * 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.

## Description

* 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.


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