Senior Technical Program Manager, Cloud Infrastructure

About the role

NVIDIA is seeking a Technical Program Manager (TPM) to join the NVIDIA DGX Cloud team. The role involves partnering with external NCP partners and internal teams to develop and mature foundational capabilities and processes, including hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up.

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.

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.

Qualifications

• 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.
• 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.

Skills

• Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.
• The base salary range is $168,000 - $258,750 for Level 4, and $200,000 - $322,000 for Level 5.
• Applications for this job will be accepted at least until July 26, 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.