Senior Software Engineer, DGX Cloud Production Engineering

NVIDIA

Senior Software Engineer working on automation and operational systems for GPU clusters at NVIDIA. Collaborating with teams for reliable, scalable GPU infrastructure across cloud and on-prem environments.

Posted 7/13/2026full-timeSanta Clara • California • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operating production infrastructure, with strong programming skills in Python and Go. Proficient in automation, cloud infrastructure, and troubleshooting distributed systems.

Highest-signal resume keywords

Production Infrastructure ExperiencePython ProgrammingKubernetes ProficiencyInfrastructure AutomationClear Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGoLinuxKubernetesContainersCloud InfrastructureInfrastructure AutomationDistributed Systems TroubleshootingAPIsGitOps

Soft Skills

Clear CommunicationTeam Collaboration

Tools & Technologies

NVIDIA Cloud PartnersAutomation ToolsMonitoring ToolsIncident Response Tools

Certifications & Qualifications

BS in Computer ScienceMS in Computer Science

Industry Keywords

GPU ClustersCluster Lifecycle OperationsProduction OperationsDay 0 / Day 1 / Day 2 Workflows

Tech Stack

Tools & technologies

CloudDistributed SystemsGoKubernetesLinuxPython

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

eligible for equity
benefits