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NVIDIA

Senior Technical Program Manager, Cloud Infrastructure

NVIDIA

. Partner with external CSP/NCP partners and internal Software Engineering, Production Engineering/SRE, and Data Center Operations teams and leadership .

Posted 11/2/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates extensive experience in technical program management for cloud infrastructure, focusing on hardware validation, deployment processes, and automation. Proficient in managing cross-functional teams and driving program success through strategic planning and operational workflows.

Highest-signal resume keywords
Technical Program ManagementCloud Infrastructure ExperienceHardware/Software IntegrationExpertise in Jira and Program Management ToolsNVIDIA GPU Products Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Cloud InfrastructureHardware ValidationData Center Bring-UpBare-Metal DeploymentsWorkload Management PlatformsAutomated Server BenchmarkingInfrastructure Health ValidationAgile/Scrum FrameworkCapacity OperationsAI Tools and Process Automation
Soft Skills
Strategic ThinkingTactical ThinkingConsensus BuildingCommunication SkillsCollaboration Skills
Tools & Technologies
JiraSmartsheetProgram Management ToolsCloud-Native ArchitecturesManaged-Kubernetes
Certifications & Qualifications
BS in Electrical EngineeringMS in Computer Science
Industry Keywords
Infrastructure EngineeringAI CloudOperational WorkflowsCluster DeploymentHigh-Performance Computing

Tech Stack

Tools & technologies
CloudDistributed SystemsKubernetesNode.js

About the role

Key responsibilities & impact
  • Partner with external CSP/NCP partners and internal Software Engineering, Production Engineering/SRE, and Data Center Operations teams and leadership
  • Drive critical programs related to infrastructure engineering, AI Cloud bring-ups, and automation
  • Develop and mature foundational capabilities and processes for hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up
  • Coordinate end-to-end remote bootstrapping, active bring-up, and validation of large server fleets from physical rack-and-stack to customer-ready state
  • Drive adoption of automation tooling for fleet maintenance, node security, and burn-in
  • Establish workflows to triage and resolve day-one deployment issues
  • Integrate and deploy DSX and other core software stacks within on-premises and infrastructure-provider environments
  • Lead day-to-day capacity operations focused on availability, maintenance, performance, resiliency, and multi-tiered infrastructure workflows
  • Drive capacity onboarding and operations with CSP/NCP partners as part of DGX Cloud capacity
  • Map and align incoming technology roadmaps with physical data center readiness timelines
  • Gather requirements, build roadmaps, and manage risks under the Product Lifecycle framework for bare-metal capacity deployment
  • Use Jira and program management tools to structure execution across engineering and data center work
  • Establish metrics tracking program velocity, infrastructure availability, and cluster health
  • Develop communication strategies and facilitate collaborative weekly operations reviews

Requirements

What you’ll need
  • 8+ years of technical program management experience driving cloud infrastructure programs
  • Experience with hardware/software integration across many engineering teams
  • Extensive hands-on experience in cloud or on-prem enterprise infrastructure
  • Experience with data center bring-up and bare-metal/VM deployments
  • Deep understanding of hardware infrastructure, orchestration, and workload management platforms
  • Expert-level proficiency with Jira, Smartsheet, or similar program management tools
  • Ability to design ticket queues and guide engineering teams within an Agile/Scrum framework
  • Exceptional strategic and tactical thinking abilities
  • Ability to build consensus, establish operational workflows, and drive program success through uncertainty
  • Outstanding communication, collaboration, and technical presentation skills
  • BS or MS in Electrical Engineering or Computer Science, or equivalent experience
  • In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and HPC infrastructure bring-up
  • Experience managing dependencies between AI software stacks, physical infrastructure, and high-performance storage infrastructure services
  • Experience with accelerated deployment schedules and asset-backed operational models
  • Experience establishing automated server benchmarking, burn-in execution, and infrastructure health validation workflows
  • Familiarity with cloud-native architectures, managed-Kubernetes platform layers, and distributed systems
  • Significant experience with AI tools, process automation, and establishing standard operating guidelines across technical domains

Benefits

Comp & perks
  • Highly competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits for employees and their families