Senior Account Manager, Higher Education and Research
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 10d ago
The date the source published, not the day we noticed it (2026-09-22). Last seen at its source just now.
We have tracked this listing since 22 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Location: Local to the Northeast US or areas within the Mid-Atlantic c…
Pay
$200k–304.8k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Carried by 1 source
-
workday employer's own board first seen 9d ago · last seen just now
- location not stated
The listing
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.