Senior Account Manager, Higher Education and Research

Do you have an insatiable curiosity and passion for science? Do you want to partner with PIs at the top research institutions in the world to accelerate their life's work? We are seeking a dedicated and science-savvy Senior Account Manager to lead our relationships with a few key R1 universities in the Northeastern or Mid-Atlantic regions.
NVIDIA’s accelerated computing platform is the scientific instrument transitioning research from traditional sequential computing to massively parallel, neural networks driven labs. Our full-stack platform includes supercomputers, the CUDA programming model, and hundreds of libraries, frameworks, and models. From BioNeMo for structural biology, Parabricks for genomics, Omniverse for 3D virtual worlds, and RAPIDS for data science, to CUDA-Q for hybrid quantum-classical computing, PhysicsNeMo for physics-informed AI, and Earth-2 for climate modeling, we are empowering the next scientific breakthroughs.
What You'll Be Doing
Institution and Government Engagement: Serve as a trusted advisor to university and occasionally, state government leaders, communicating NVIDIA's vision, technology roadmaps, and research impact.
Grow the Business: Champion organic business growth, forecast revenue, and collaborate with IT and business partners on go-to-market strategies.
Research Community Partnership: Forge strong connections with leading research labs and PIs across diverse scientific domains (e.g., AI/ML, life sciences, physical sciences, climate science, engineering, and materials science). You will understand their grand challenges and keep a pulse on emerging computational methods.
Strategy Execution: Engage internal cross-functional NVIDIA teams (Solution Architects, Developer Relations, Product Management, Business Units, etc.) and university partners to accelerate science on NVIDIA’s platform.
Ecosystem Enablement & Adoption: Drive broad awareness, adoption, and high-impact utilization of the NVIDIA platform across assigned institutions. For example, you may inform a materials scientist about batched conformer searches using ALCHEMI, a climate scientist about CorrDiff within Earth-2, or an aerospace engineer about building Fourier neural operators or surrogate models via PhysicsNeMo.
Continuous Learning: Demonstrate the determination to develop a strong understanding of scientific trends in key domains and the capabilities of NVIDIA's full technology stack.
Ability to travel 25% or more as needed.
What We Need To See
8+ years proven experience in roles involving science or scientific business. Experience navigating research universities and engaging collaborators from university leadership to PIs and Research Computing is highly desirable.
Curiosity: Lifelong learning and scientific curiosity are a must. We value a self-motivated, thoughtful candidate with an ability to learn deeply technical concepts.
A BS degree or equivalent experience, or comparable professional background. An advanced degree (MS, PhD, or equivalent experience) in a scientific or technical field could be advantageous.
Drive: A tenacious spirit to thrive in unstructured and constantly evolving environments.
Location: Local to the Northeast US or areas within the Mid-Atlantic corridor
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 26, 2026.
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.
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Work arrangement
Yes