NVIDIA
Artificial Intelligence, High-Performance Computing, Visualization
SeniorSoftwareEngineer,DGXCloudProductionEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Software Engineer, DGX Cloud Production Engineering at NVIDIA. Skills: Kubernetes-based infrastructure, GPU cluster operations, reliability, automation, GitOps, Day 2 operability. 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”
What You'll Achieve.
make GPU clusters reliable, scalable, and safe to run; Reduce manual production touches
Industry & Context.
Ability to troubleshoot distributed systems in production
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, or fleet automation, Experience with SLOs, on-call, incident response, observability, and reliability practices, Exposure to BMaaS, VMaaS, managed Kubernetes, or multi-cloud infrastructure
What You'll Do.
Build and operate automation for large-scale GPU clusters across NVIDIA Cloud Partners (NCP) and on-prem environments
Develop tools and services for provisioning
and cluster lifecycle operations
Improve Day 0 / Day 1 / Day 2 workflows for cluster bringup
and production operations
Reduce manual production touches through APIs
and agent-assisted workflows
Participate in on-call
and durable follow-up work
Partner with platform
and workload teams to make infrastructure production-ready
How You'll Work.
Team & Collaboration
work across teams; Partner with platform, storage, networking, security, and 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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