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Senior Software Engineer - DGX Cloud Production Engineering

NVIDIA USA

LocationUnited States
SenioritySenior
CompanyNVIDIA USA
Verified recentlyChecked today
Compensation

Salary not listed

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Requirements and working style

Decision details from the source listing

Experience

8+ years stated

Education

BS in Computer Science or equivalent, MS in Computer Science or equivalent

Work authorization

US work authorization

Schedule

fixed

Required overlap

Not specified

Benefits stated
EquityBenefits package

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Senior Software Engineer role at NVIDIA focused on production engineering for DGX Cloud large-scale GPU infrastructure, requiring 8+ years experience with programming (Python/Go), Kubernetes, cloud infrastructure, and distributed systems. Remote within the US with multiple locations eligible. Requires US work authorization with no stated visa sponsorship. Fixed schedule implied with on-call duties.

Role lane

Backend, DevOps, HR and recruiting, Operations, Security, Software, Customer support

Where you can work

United States

Working hours

US Pacific, US Mountain, US Central, US Eastern

Arrangement

Senior · full_time

Required signals
PythonGoLinuxKubernetesContainersCloud InfrastructureInfrastructure AutomationDistributed Systems TroubleshootingAPI DevelopmentGitOpsTerraformArgoCDAutomation
Preferred signals
GPU InfrastructureKubernetes OperatorsSLOsOn-call Incident ResponseObservabilityReliability PracticesBMaaSVMaaSManaged KubernetesMulti-cloud Infrastructure
Confirm before applying
  • Compensation is not listed
Market context

Backend hiring on WFH.team

3,769active related roles
2,293new in the latest period
171.1jobs per 100 candidates
$202kmedian of comparable listed ranges

Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
PythonGoLinuxKubernetesContainersCloud InfrastructureInfrastructure AutomationDistributed Systems TroubleshootingAPI DevelopmentGitOpsTerraformArgoCDAutomationGPU InfrastructureKubernetes OperatorsSLOsRemote US-based role with multiple US locations specified; clearly remote-friendly
Job description

Senior Software Engineer - DGX Cloud Production Engineering at NVIDIA USA

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-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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until September 15, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Company context

Working remotely at NVIDIA USA

NVIDIA USA is hiring for 12 active remote roles, with remote-friendly openings, application links, and job details refreshed from the public remote job inventory.

Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Research NVIDIA USA
Remote Senior Software Engineer - DGX Cloud Production Engineering at NVIDIA USA | WFH.team