Senior Technical Program Manager, Cloud Infrastructure

Posted 10 Days Ago
2 Locations
In-Office
168K-322K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead cross-functional programs to deliver on-prem and cloud-integrated DGX Cloud infrastructure: drive large-scale bare-metal fleet bring-up, automation, software integration, capacity operations, roadmap alignment, program governance, and metrics-driven operational reviews. Partner with NCPs and internal engineering, SRE, and data center teams to establish validation, bootstrapping, and maintenance workflows for production-ready clusters.
Summary Generated by Built In

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:

  • 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.

  • 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 many technical domains.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ 

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 19, 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. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills Required

  • 10+ years technical program management experience driving cloud infrastructure programs
  • Hands-on experience with cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal deployments
  • Proficiency with Jira, Smartsheet, or similar program management tools
  • Experience designing ticket queues and working within Agile/Scrum frameworks
  • Strong strategic leadership, consensus-building, and operational workflow development
  • 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 with rapid data center rollouts and asset-backed operational models
  • Experience establishing automated server benchmarking, burn-in, and infrastructure health validation workflows
  • Familiarity with cloud-native architectures, managed-Kubernetes platforms, and distributed systems
  • Experience with productivity tools and process automation to standardize operating procedures

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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