NVIDIA’s deep learning platforms have made a major impact in various fields and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We are seeking an experienced and talented technical program manager for NVIDIA's DGX Cloud. We need passionate, hard-working, and creative people to help us deliver value to DGX Cloud customers.
What you'll be doing:
As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, and Software teams, driving critical cloud infrastructure programs across DGX Cloud. You'll play a pivotal role in maturing how we bring up AI capacity — strengthening process resiliency, driving automation into our PLC and acceptance workflows, and enabling early access to upcoming NVIDIA platforms. This is a dynamic, fast-paced environment where TPMs are motivated to apply fungible abilities to a range of high-impact programs.
Lead the end-to-end execution of NPI programs across engineering, operations, and cloud service provider (CSP) partners
Lead the DGX Cloud NPI Early Access Program — Enabling processes that leading to engineering teams across DGXC getting early access to critical Nvidia systems (i.e. VR / VR Ultra) in order to develop critical software and automation.
Drive PLC process for capacity bring-up into system-based, automated solutions — taking a baseline PLC type process and driving iterative improvements and system approaches to codifying in tooling including jira.
Coordinate site readiness and infrastructure bring-up activities, including networking, inventory, corp IT, and security integration
Partner with SW stack teams to track development, testing, and integration across product phases
Define and implement acceptance testing, validation workflows, and readiness gates for new platforms
Work closely with stakeholders to develop scalable NPI processes, tools, and dashboards
Drive automation efforts for break/fix workflows, telemetry enablement, and system health validation
Facilitate regular communication with leadership, engineering, CSP teams, and Colo partners and cultivate a culture of continuous improvement and process innovation
What we need to see:
12+ years of technical program management experience, with a focus on infrastructure, hardware/software integration, or cloud platforms
Success in leading NPI or large cross-functional programs in fast-paced environments
Experience working with cloud service providers, large-scale data center deployments, or enterprise-scale infrastructure programs
Strong understanding of GPU compute, Kubernetes, CI/CD pipelines, and cloud-native services
Demonstrated experience building or improving product development processes and team workflows
Skilled in tools such as JIRA, Confluence, dashboards, and reporting tools
Ability to influence cross-functional teams, including HW, SW, QA, Site Ops, and Product
Outstanding communication and leadership skills, capable of collaborating effectively with senior collaborators
BS/MS in CS, EE, related technical field, or equivalent experience
Ways to stand out from the crowd:
Experience in launching cloud infrastructure products or large-scale hardware-software systems
Previous involvement in New Product Introduction (NPI), including platform bring-up and validation
Familiarity with AI infrastructure, or GPU-based cloud platforms
Experience with process automation, observability (telemetry/metrics), and health check frameworks
Passion for building repeatable systems, tools, and cross-org efficiency at scale
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.Skills Required
- 12+ years of technical program management experience
- Experience with infrastructure, hardware/software integration, or cloud platforms
- Skilled in tools such as JIRA and Confluence
- BS/MS in CS, EE, or related field
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.
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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.
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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.
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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
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.”
