NVIDIA is looking for an expert Technical Program Manager to scale strategic programs across the global higher education and research ecosystem. In this role, you will lead university engagement, curriculum adoption, and grant operations that help researchers, faculty, and students build with NVIDIA advanced computing platforms, publicly available models, and CUDA-X libraries. Work across NVIDIA and with leading academic institutions around the world to turn high-impact collaborations into repeatable, measurable programs
What you'll be doing:
Define strategy, governance, operational performance indicators, success metrics, and execution models.
Scale NVIDIA Tech Days for universities as a repeatable global program, including institution prioritization, content development, execution standards, measurement, and continuous improvement.
Support curriculum integration collaborations with leading universities and faculty advocates to incorporate NVIDIA open models, learning content, and guest speakers into undergraduate and graduate coursework, ensuring students gain early access and exposure to open-source models and computing platform technologies.
Coordinate strategic academic investments, including supporting operations for discrete university lab sponsorships and NVIDIA’s education rebate program.
Collaborate with and be supported by NVIDIA field staff—including Developer Relations (DevRel), Account Managers, and Solution Architects—to ensure flawless, consistent, and excellent program execution globally. Collaborate internally with NVIDIA Developer Programs, Deep Learning Institute, and Product teams to bring the best of NVIDIA to lighthouse universities.
Synthesize insights from faculty, researchers, and students to help build future NVIDIA platforms, libraries, and educational content.
Track and communicate outcomes, including program reach, library adoption, open-source contributions, paper citations, and infrastructure utilization. Identify ecosystem gaps, test new program concepts, and scale successful pilots across regions and research domains.
What we need to see:
Bachelor’s degree in business, program management, education, public policy, computer science, engineering, or a related field, or equivalent experience.
5+ years of program or project management experience
Extensive experience in product or program management, strategic operations, partnerships, or grant administration within technology, higher education, research, or a comparable environment.
Demonstrated success leading sophisticated, cross-functional programs spanning multiple teams, timelines, dependencies, and global regions. Proven track record to develop, operationalize, and scale new processes and initiatives across organizations and geographies.
Experience working with universities, academic faculty and researchers, student education programs, or sponsored research, with a practical understanding of how institutions evaluate and adopt technology.
Strong operational excellence, including program governance, strategic execution, performance metrics, and executive-level reporting.
Success also requires collaborating across technical and non-technical teams, influencing partners without direct authority, and translating sophisticated concepts into clear, actionable plans.
Outstanding communication skills, including executive-facing communications, are critical. At NVIDIA, successful candidates are collaborative, proactive, and able to adapt quickly while managing competing priorities.
Ways to stand out from the crowd:
Familiarity with AI and machine learning, accelerated computing, open models, and NVIDIA technologies such as CUDA-X libraries will give us an edge. Likewise, experience developing curriculum integrations, teaching kits, or reusable technical enablement for faculty and students is a major plus! Moreover, the following will move you to front of the pack.
Post-graduate qualification in business, education, computer science, engineering, or a comparable area, or equivalent experience.
Experience using data, automation, or AI tools to improve program execution, reporting, and cross-NVIDIA communication.
Experience working across multiple regions and university systems.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.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
- Bachelor's degree in business, program management, education, public policy, computer science, engineering, or a related field, or equivalent experience
- 5+ years of program or project management experience
- Extensive experience in product or program management, strategic operations, partnerships, or grant administration within technology, higher education, research, or a comparable environment
- Experience leading complex cross-functional programs across multiple teams, timelines, dependencies, and global regions
- Track record developing, operationalizing, and scaling processes and initiatives across organizations and geographies
- Experience working with universities, academic faculty and researchers, student education programs, or sponsored research
- Understanding of how academic institutions evaluate and adopt technology
- Strong operational excellence in program governance, strategic execution, performance metrics, and executive-level reporting
- Ability to collaborate across technical and non-technical teams and influence partners without direct authority
- Ability to translate sophisticated concepts into clear, actionable plans
- Outstanding communication skills, including executive-facing communications
- Familiarity with AI and machine learning, accelerated computing, open models, and NVIDIA technologies such as CUDA-X libraries
- Experience developing curriculum integrations, teaching kits, or reusable technical enablement for faculty and students
- Post-graduate qualification in business, education, computer science, engineering, or a comparable area, or equivalent experience
- Experience using data, automation, or AI tools to improve program execution, reporting, and internal communication
- Experience working across multiple regions and university systems
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.”








