Role at a glance
- Job function
-
Software Engineering & IT Technical Program Management
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Santa Clara, California, United States
- Employment
- Full-time
- Education
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
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Role Summary
The Senior Technical Program Manager will coordinate infrastructure engineering programs for NVIDIA DGX Cloud, partnering with external NCP partners and internal software, production engineering/SRE, and data center operations teams. The role focuses on on-prem infrastructure readiness, bare-metal capacity deployment, fleet automation, and capacity operations.
What You'll Do
- Coordinate remote bootstrapping, bring-up, and validation of server fleets from rack-and-stack through customer readiness; drive...
- Partner with NVIDIA software teams to integrate and deploy DSX and other core software stacks in on-prem environments.
- Lead day-to-day capacity operations focused on availability, maintenance, and multi-tier infrastructure workflows; potentially drive...
- Map engineering technology roadmaps against physical data center readiness timelines.
- Gather requirements, build roadmaps, manage risks under the Product Lifecycle framework, and use Jira and program management tools to...
- Establish metrics for program velocity, infrastructure availability, and cluster health, and develop communication strategies including...
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Requires 8+ years of technical program management experience planning and executing cloud infrastructure programs with hardware/software integration across engineering teams; hands-on cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal deployments, and hardware infrastructure expertise; expert-level proficiency with Jira, Smartsheet, or similar program management tools and Agile/Scrum; strategic and tactical thinking, consensus-building, operational workflow development, and strong communication, collaboration, and technical presentation skills. BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Required
- 8+ years of technical program management experience planning and executing cloud infrastructure programs, focused on hardware/software...
- Hands-on experience in cloud or on-prem enterprise infrastructure, data center bring-up, bare-metal deployments, and hardware...
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools; ability to design ticket queues and guide...
- Strategic and tactical thinking, consensus-building, establishing operational workflows, and driving programs through uncertainty.
- Strong communication, collaboration, and technical presentation skills.
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Preferred
- In-depth knowledge of NVIDIA GPU products, cluster deployment, validation testing, and HPC infrastructure; direct experience managing...
- Experience with accelerated deployment schedules, such as rapid 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 productivity tools, process automation, and establishing standard operating guidelines across technical domains.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 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.
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.