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?
Not yet checked
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
The employer's own board was still advertising this when we last read it, though our own check is not current.
How old is it?
Posted 13d ago
The date the source published, not the day we noticed it (2026-10-20). Last seen at its source 4h ago.
We have tracked this listing since 20 Oct 2026 (12 days). The employer's board dropped it once and re-listed it; it was last seen there 4 hours ago.
Is it remote?
US, FL, Remote, US, GA, Remote, US, NC, Remote, US, VA, Remote, US, SC, Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Location: Local to Southeast US…
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.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 12d ago · last seen 4h ago
The listing
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.
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 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.
- 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 Southeast US.
With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers. We are filled with forward-thinking individuals and are rapidly growing. If you're creative and autonomous with a real passion for your work, we want to hear from you!
Your cash compensation will be determined based on your location, experience, and other objective job-related factors, with 85% paid through base salary and 15% through variable compensation. The expected cash compensation ranges for this position are: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.
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.#deeplearning