Technical Program Manager, Higher Education and Research

Details

NVIDIA is seeking an expert Technical Program Manager to scale strategic programs across the global higher education and research ecosystem. The role leads 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. The position works across NVIDIA and with leading academic institutions worldwide to turn high-impact collaborations into repeatable, measurable programs.

Responsibilities

• 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.
• Coordinate strategic academic investments, including operations for discrete university lab sponsorships and NVIDIA's education rebate program.
• Collaborate with NVIDIA field staff, including Developer Relations, Account Managers, and Solution Architects, to ensure consistent and excellent global program execution.
• Collaborate internally with NVIDIA Developer Programs, Deep Learning Institute, and Product teams to bring NVIDIA resources to leading 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.

Requirements

• Bachelor's degree in business, program management, education, public policy, computer science, engineering, or a related field, or equivalent experience.
• At least 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 ability 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.
• Ability to collaborate across technical and non-technical teams, influence partners without direct authority, and translate sophisticated concepts into clear, actionable plans.
• Outstanding communication skills, including executive-facing communications.
• Collaborative, proactive, adaptable, and able to manage competing priorities.

Preferred Qualifications

• 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.
• Postgraduate 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.

Compensation and Benefits

• Base salary range: $136,000–$212,750 for Level 3.
• Base salary range: $168,000–$258,750 for Level 4.
• Salary is determined based on location, experience, and the pay of employees in similar positions.
• Eligible for equity and benefits.
• Applications will be accepted at least until September 19, 2026.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is an equal opportunity employer committed to an inclusive work environment.