Senior Account Manager, Higher Education and Research

NVIDIA Corporation; Atlanta (GA); On-site; USD 200,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in the Southeast US seeks a Senior Account Manager to lead relationships with a select group of R1 universities. You will act as a trusted advisor, articulate NVIDIA’s research-friendly platform, and align roadmaps with academic goals.

You will forecast revenue, drive platform adoption across physics, engineering, and life sciences, coordinate with Solution Architects, DevRel, and product teams, and travel as needed up to 25%.

Qualifications

• 8+ years in science-related roles with business experience.
• Experience navigating research universities and engaging with leadership and PIs.
• Lifelong learning and scientific curiosity are a must.
• An advanced degree (MS, PhD, or equivalent experience) could be advantageous.
• Local to the Northeast US or areas within the Mid-Atlantic corridor.

Responsibilities

• Serve as trusted advisor to university and government leaders, communicating NVIDIA's vision and research impact.
• Grow the Business: forecast revenue and collaborate on go-to-market strategies.
• Research Community Partnership: forge connections with leading labs and PIs across domains and coordinate with internal NVIDIA teams.
• Drive broad awareness, adoption, and high-impact utilization of the NVIDIA platform across institutions.
• Ability to travel 25% or more as needed.

Skills

Scientific business experience

University partnerships

Relationship management

Strategic communication

Education

MS/PhD or equivalent experience

Job description

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 Southeast US.

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.

Key Responsibilities

• 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). 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.
• 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.

Requirements

• 8+ years of 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.
• Lifelong learning and scientific curiosity are a must.
• An advanced degree (MS, PhD, or equivalent experience) in a scientific or technical field could be advantageous.
• Local to the Northeast US or areas within the Mid-Atlantic corridor.

Compensation & Benefits

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.

Application Period

Applications for this job will be accepted at least until October 24, 2026.

Equal Opportunity

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.