NVIDIA’s deep learning platforms have significantly influenced many areas and are widely adopted by top academic institutions, emerging companies, and industry leaders, including the largest Internet firms. We are looking for a skilled and committed technical program manager for NVIDIA's DGX Cloud. We want enthusiastic, diligent, and innovative individuals to help provide value to DGX Cloud users.
What you'll be doing:
As a DGX Cloud technical program manager, you will act as the link between global cloud service providers and NVIDIA engineering teams, building outstanding cloud infrastructure and user experiences for DGX Cloud customers! You will collect requirements, lead prioritization, timelines, and planning for all stages of the product life cycle. You will manage risks and address issues impacting scope, schedule, and quality, ensuring the programs meet quality standards.
Develop and lead achievements and schedules for the many moving parts that need to come together.
Lead and improve existing product development; collaborate with engineering management to improve the development workflow and engineering efficiency. You will have the opportunity to interact with diverse technical groups, spanning all organizational levels.
Partner with the engineering team and product management to define and deliver project roadmaps, schedules, and achievements.
Identify and address risks and resolve issues that impact all aspects of scope, schedule, and quality.
Develop and drive a communication strategy that provides Cross functional and org visibility on overall Program progress and engineering delivery.
Drive organizational efficiency by coordinating with cross-functional leads and streamlining processes
Foster an environment of ongoing development, identifying chances for process improvements.
What we need to see:
10+ years of Program Management experience driving the planning and execution of large programs, software engineering projects in a matrix environment
Enthusiastic, energetic, responsive, and passionate about discovering ways to improve processes!
Experience in successfully leading global projects across time zones.
Experience with Jira and/or JAMA is required. You should comfortably guide an engineering team on how to use these tools and implement them in an Agile/scrum manner.
Ability to think strategically and tactically and to build consensus in making programs successful; ability to resolve technical issues and resource conflicts.
Expert in Enterprise scale lean process development
Expert in rolling out new efficiencies organization-wide
Ability to drive cross org alignment across senior and executive leaders.
Possess excellent communications and technical presentation skills.
MS EE or CS degree, or equivalent experience
Ways to stand out from the crowd:
Highly motivated with strong communication skills, with proven track record to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
Working understanding of cloud technologies is a plus.
Background with new product introduction and program leading research teams.
Experience with productivity tools and process automation is big plus
Kubernetes Platform Experience is a huge plus
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
- 10+ years Program Management experience driving large software engineering programs in a matrix environment
- Experience successfully leading global projects across time zones
- Experience with Jira and/or JAMA
- Experience implementing Agile/Scrum workflows with engineering teams
- Ability to identify and mitigate risks, resolve technical issues and resource conflicts
- Expert in enterprise-scale lean process development
- Expert in rolling out new efficiencies organization-wide
- Ability to drive cross-organization alignment across senior and executive leaders
- Excellent communications and technical presentation skills
- MS in EE or CS or equivalent experience
- Working understanding of cloud technologies
- Background with new product introduction and leading research teams
- Experience with productivity tools and process automation
- Kubernetes platform experience
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.”
