Senior Technical Program Manager, Cloud Infrastructure

NVIDIA•Santa Clara, CA

16h•$168,000 - $322,000

About The Position

NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a great opportunity for a passionate, motivated, and creative individual to deliver outstanding value to our DGX Cloud customers. We are specifically looking for a TPM with extensive experience in CSP/NCP cloud environments, on-prem infrastructure bring-up, and hardware automation.

Requirements

10+ years of technical program management experience, specifically driving the planning and execution of cloud infrastructure programs, with a strong focus on hardware/software integration across many engineering teams.
Extensive hands-on experience in cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal deployments, and a deep understanding of hardware infrastructure.
Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently design ticket queues and guide engineering teams within an Agile/Scrum framework.
Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus, establish operational workflows, and drive program success through uncertainty.
Outstanding communication, collaboration, and technical presentation skills, with a proven ability to increase meeting engagement, gather feedback, and align senior multi-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 (HPC) infrastructure bring-up.
Direct experience managing dependencies between pioneering AI software stacks and foundational physical infrastructure.
Experience working with accelerated deployment schedules (e.g., rapid 30-day data center rollouts) and asset-backed operational models.
Prior 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 productivity tools, process automation, and establishing standard operating guidelines across many technical domains.

Responsibilities

Coordinate the end-to-end remote bootstrapping, active bring-up, and validation of large server fleets to take clusters from physical rack-and-stack to a customer-ready state.
Drive the adoption of automation tooling for fleet maintenance, node security, and burn-in, while establishing formalized workflows to rapidly triage and resolve day-one deployment issues.
Partner closely with internal NVIDIA SW teams to integrate and deploy DSX and other core software stacks within on-prem environments.
Lead day-to-day capacity operations with a focus on availability, maintenance, and multi-tiered infrastructure workflows.
Work across diverse NVIDIA engineering teams to understand, map, and intercept incoming technology roadmaps against physical data center readiness timelines.
Gather detailed requirements, build comprehensive roadmaps, and manage risks under the Product Lifecycle (PLC) framework for bare-metal capacity deployment.
Leverage Jira and program management tools to instill structured execution across engineering and data center work.
Establish clear critical metrics to quantitatively track program velocity, infrastructure availability, and overall cluster health.
Develop robust communication strategies—including turning weekly operations reviews into highly collaborative sessions.