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
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
- 8+ years of experience in roles involving science or scientific business
- Experience navigating research universities and engaging university leadership, principal investigators, and research computing teams
- Strong scientific curiosity and ability to learn deeply technical concepts
- Bachelor of Science degree or equivalent experience, or comparable professional background
- Advanced degree in a scientific or technical field
- Tenacious drive and ability to thrive in unstructured, constantly evolving environments
- Local to the Northeast United States or Mid-Atlantic corridor
- Ability to travel 25% or more as needed
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.”
