NVIDIA
Artificial Intelligence
SeniorSoftwareEngineer,DGXCloudProductionEngineering
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optimal for Senior candidates.
“Senior Software Engineer, DGX Cloud Production Engineering at NVIDIA. Skills: Kubernetes, GPU infrastructure, automation, production engineering. Build automation for GPU clusters. Operate automation for GPU clusters”
What You'll Achieve.
make GPU clusters reliable; make GPU clusters scalable; make GPU clusters safe to run; make infrastructure production-ready
Industry & Context.
troubleshoot distributed systems
on-call, incident response
What They're Looking For.
Must Have
8+ years of experience building or operating production infrastructure, 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
Nice to Have
Experience with GPU infrastructure, Kubernetes operators, GitOps, Terraform, ArgoCD, fleet automation, SLOs, on-call, incident response, observability, reliability practices, BMaaS, VMaaS, managed Kubernetes, multi-cloud infrastructure
What You'll Do.
Build automation for GPU clusters
Operate automation for GPU clusters
Develop tools for provisioning
Develop tools for validation
Develop tools for upgrades
Develop tools for monitoring
Develop tools for repair
Develop tools for cluster lifecycle
Improve Day 0 workflows
Improve Day 1 workflows
Improve Day 2 workflows
Reduce manual production touches
Participate in on-call
Participate in incident response
Participate in debugging
Participate in durable follow-up work
Partner with platform teams
Partner with storage teams
Partner with networking teams
Partner with security teams
Partner with workload teams
How You'll Work.
Team & Collaboration
work across teams; Partner with platform teams; Partner with storage teams; Partner with networking teams; Partner with security teams; Partner with workload teams
Communication Scope
Clear communication
Full Job Description
NVIDIA DGX Cloud is building and operating large-scale GPU infrastructure for AI research and production workloads. We are looking for Senior Software Engineers to help build the automation, tooling, and operational systems that make GPU clusters reliable, scalable, and safe to run. This role is part of a production engineering team focused on Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, and Day 2 operability across DGX Cloud environments. **What you’ll be doing:** * 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. **What we need to see:** * 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. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performa
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