Senior Technical Program Manager, Cloud Infrastructure

NVIDIA•Santa Clara, CA

About The Position

NVIDIA is seeking an accomplished Technical Program Manager to join its DGX Cloud team. The role partners with external cloud service provider and network cloud provider partners, as well as internal Software Engineering, Production Engineering/SRE, and Data Center Operations teams and their leaders. It drives infrastructure engineering programs, AI cloud bring-ups, and automation, while developing foundational capabilities and processes for hardware validation, remote fleet bootstrapping, operational workflows, and cluster and capacity bring-up. The role coordinates remote bootstrapping, active bring-up, and validation of large server fleets, taking clusters from physical rack-and-stack to customer-ready. It drives automation for fleet maintenance, node security, and burn-in, and establishes workflows to triage and resolve deployment issues. It also partners with NVIDIA software teams to integrate and deploy DSX and other software stacks in on-premises and infrastructure-provider environments, and leads capacity operations focused on availability, maintenance, performance, resiliency, and multi-tiered infrastructure workflows. The TPM maps incoming technology roadmaps against data center readiness timelines, gathers requirements, develops roadmaps, and manages risks under the Product Lifecycle framework for bare-metal capacity deployment. The role uses Jira and other program-management tools to structure execution, establishes metrics for program velocity, infrastructure availability, and cluster health, and develops communication practices, including collaborative weekly operations reviews.

Requirements

8+ years of technical program management experience driving planning and execution of cloud infrastructure programs, with a focus on hardware/software integration across multiple engineering teams.
Extensive hands-on experience in cloud or on-premises enterprise infrastructure, data center bring-up, bare-metal or VM deployments, hardware infrastructure and orchestration, and workload-management platforms.
Expert-level proficiency with Jira, Smartsheet, or similar program-management tools, including designing ticket queues and guiding engineering teams within an Agile/Scrum framework.
Strong strategic and tactical thinking, consensus-building, operational-workflow development, and ability to drive program success amid uncertainty.
Outstanding communication, collaboration, and technical presentation skills, including engaging meetings, gathering feedback, and aligning senior cross-functional collaborators.
BS or MS in Electrical Engineering or Computer Science, or equivalent experience.

Nice To Haves

In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and high-performance computing infrastructure bring-up.
Experience managing dependencies between pioneering AI software stacks, physical infrastructure, and infrastructure services such as high-performance storage.
Experience with accelerated deployment schedules, such as 30-day data center rollouts, and asset-backed operational models.
Background 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.

Responsibilities

Coordinate end-to-end remote bootstrapping, active bring-up, and validation of large server fleets, taking clusters from rack-and-stack to customer-ready.
Drive adoption of automation tooling for fleet maintenance, node security, and burn-in, and establish workflows to triage and resolve day-one deployment issues.
Partner with NVIDIA software teams to integrate and deploy DSX and other core software stacks in on-premises and infrastructure-provider environments.
Lead day-to-day capacity operations focused on availability, maintenance, performance, resiliency, and multi-tiered infrastructure workflows.
Potentially drive end-to-end capacity onboarding and operations with CSP/NCP partners as part of internal DGX Cloud capacity.
Coordinate across NVIDIA engineering teams to map technology roadmaps against 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 establish structured execution across engineering and data center work.
Establish metrics to track program velocity, infrastructure availability, and overall cluster health.
Develop communication strategies and make weekly operations reviews collaborative and engaging.