Senior Account Manager, Higher Education & Research

Employment Type: Full-time

Position Overview

Are you passionate about science? Do you want to work with researchers at top universities, and help them do their life's work? NVIDIA is seeking a high-energy, strategic, and science-savvy Senior Account Manager, Higher Education & Research to lead our relationships and business with 5-10 key R1 research institutions in the Southeast or Mid-Atlantic US. This is an outstanding opportunity to operate at the intersection of science and technology, driving the adoption of NVIDIA's platform to address humanity's greatest challenges. You will be instrumental in empowering researchers across diverse domains in a dynamic environment where innovation happens daily.

NVIDIA is the engine of AI and accelerated computing, profoundly impacting research across many science domains. Our full-stack platform – encompassing supercomputers, CUDA programming model, hundreds of libraries and frameworks such as BioNeMo for life sciences, NeMo for generative AI, Omniverse platform for simulation and digital twins – enables breakthroughs previously unimaginable. Beyond accelerating research, we also engage with academia through a rich ecosystem of programs, including collaborative research, research grants, training via the Deep Learning Institute (DLI), Teaching Kits, Ambassador programs, University Recruiting, and other initiatives. This role is pivotal in orchestrating the entire company to build strategic, mutually beneficial partnerships.

Responsibilities

• Strategic University Leadership Engagement: Serve as a trusted advisor to university partners, communicating NVIDIA's vision, technology roadmaps, and research impact. Develop relationships with senior university leaders to align NVIDIA's platform with institutional research priorities and drive large-scale adoption.
• Research Community Partnership: Forge strong connections with leading research labs and Principal Investigators across diverse scientific domains (e.g., AI/ML, life sciences, physical sciences, climate science, engineering, etc). Understand their grand challenges and explore if NVIDIA's platform and expertise can accelerate their discovery process and scientific outcomes.
• Strategy Execution: Collaborate closely with internal NVIDIA teams (Solution Architects, Developer Relations, Product Management, Business Units) and university partners (strategic PIs, labs) to develop and take on new initiatives.
• Grow the Business: Champion organic business growth, forecast revenue, and collaborate with IT and business partners to go-to-market.
• Ecosystem Enablement & Adoption: Drive broad awareness, adoption, and impactful utilization of the NVIDIA platform across assigned institutions. Leverage NVIDIA's educational resources (DLI Teaching Kits, workshops, certifications) and community programs (hackathons, bootcamps).
• Continuous Learning: Maintain a strong understanding of the evolving Higher Education and Research (HER) landscape, scientific trends in key domains, and the capabilities of NVIDIA's full technology stack. Consistently strive to learn and reinvent yourself in this rapidly evolving field.
• Travel: Ability to travel up to 20% as needed to engage with universities and internal teams.

Requirements

• 10+ years of experience in roles involving scientific sales/consulting, research program management, high performance computing leadership, or working within scientific environments.
• Experience navigating complex university structures and engaging collaborators from C-level executives to Principal Investigators and IT directors is highly desirable.
• BS degree, or equivalent experience. A demonstrated commitment to lifelong learning is crucial.
• Advanced degree (MS, PhD, or equivalent experience) in a scientific or technical field is a plus but not required.
• A genuine passion for science, technology, and the mission of accelerating research.
• High energy, self-motivation, and ability to thrive in a dynamic environment.

Company Information

NVIDIA is the engine of AI and accelerated computing, profoundly impacting research across many science domains. Our full-stack platform – encompassing supercomputers, CUDA programming model, hundreds of libraries and frameworks such as BioNeMo for life sciences, NeMo for generative AI, Omniverse platform for simulation and digital twins – enables breakthroughs previously unimaginable. Beyond accelerating research, we also engage with academia through a rich ecosystem of programs, including collaborative research, research grants, training via the Deep Learning Institute (DLI), Teaching Kits, Ambassador programs, University Recruiting, and other initiatives.