Senior Technical Program Manager, Cloud Infrastructure

NVIDIA Corporation; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

NVIDIA Corporation is seeking an accomplished Infrastructure Technical Program Manager to join our DGX Cloud team in the United States. You will partner with internal software, production engineering, and data center teams to drive on-prem infrastructure programs encompassing hardware bring-up and automation.

You will manage roadmaps, governance, and capacity operations, focusing on hardware validation, remote fleet bootstrapping, and cross-team alignment with NCP partners.

Qualifications

• 8+ years of technical program management experience driving cloud infrastructure programs.
• Experience with on-prem data center bring-up and hardware integration.
• Proficient with Jira, Smartsheet, and Agile/Scrum software tools.
• Strong strategic leadership and cross-functional collaboration.
• BS or MS in Electrical Engineering or Computer Science (or equivalent).

Responsibilities

• Coordinate end-to-end infrastructure bring-up with internal and external partners.
• Drive hardware validation, bootstrapping, and automation initiatives.
• Lead cross-team roadmaps and manage risks within the PLC framework.
• Establish metrics and governance for program velocity and cluster health.
• Use Jira/Smartsheet to track progress and report to leadership.

Skills

Technical program management

Cloud infrastructure

Hardware/software integration

Stakeholder management

Communication skills

Education

BS or MS in Electrical Engineering or Computer Science

Tools

Jira

Smartsheet

Job description

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.

What you'll be doing:

As an Infrastructure Technical Program Manager, you'll be a key partner to our external NCP partners as well as key internal teams (Software Engineering, Production Engineering/SRE, and Data Center Operations) and their leadership, driving critical programs related to on-prem infrastructure engineering, bare-metal bring-up, and automation. You'll play a pivotal role in developing and maturing foundational capabilities and processes, spanning critical areas such as hardware validation, remote fleet bootstrapping, operational workflows, and cluster/capacity bring-up. This is a dynamic, fast-paced environment where TPMs are motivated to apply versatile abilities to a range of high-impact programs across the infrastructure lifecycle.

Fleet Bring-Up, Automation:

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.

NVIDIA Software Integration & Capacity Operations:

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. This role includes the potential to scale scope by driving end-to-end capacity onboarding and operations with NCP partners as part of internal DGX Cloud (DGXC) capacity.

Cross-Team Roadmap Interception:

Work across diverse NVIDIA engineering teams to understand, map, and intercept incoming technology roadmaps against physical data center readiness timelines.

Program Governance:

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.

Metrics, Visibility & Communication:

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.

What we need to see:

• 8+ 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.
• Infrastructure Expertise: 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.
• Tooling Proficiency: 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.
• Strategic Leadership: Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus, establish operational workflows, and drive program success through uncertainty.
• Communication Skills: 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.

Ways to stand out from the crowd:

• 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 ma