Full-Time

Senior Strategic Alliance Manager, AI for Chemistry and Material Science at NVIDIA

Company NVIDIA
Location Santa Clara
How You'll Work remote
Level senior
Sector Technology
Posted Posted 0 days ago

Job Description

You will be responsible for encouraging NVIDIA platform adoption at leading universities and research labs engaged in groundbreaking research in Generative AI, model architectures, and Agentic AI workflows in the field of chemistry and material science. You'll define and deliver strategic partnerships, lead fruitful technical collaborations, and advise NVIDIA's product organization as a representative of developers in the higher education and research ecosystem.

Your key responsibilities will include:

Identifying top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science.

Leading strategic relationships with opinion leaders and researchers.

Defining NVIDIA's strategy for engaging developers in university and research environments by working with cross-functional teams: Product, Engineering, Marketing, Applied Research, etc.

Evangelizing and directly engaging target collaborators on building teaching kits.

Hosting developer and customer evangelism events: meetups, hackathons, lectures.

Speaking at relevant scientific, technical, and industry conferences.

We need to see:

A PhD in computational chemistry, materials science, computer science, or a related field; or equivalent experience.

6+ years of experience in one or more of higher education for machine learning interatomic potentials, generative modeling, and quantum chemistry workflows,

Demonstrated knowledge of the research ecosystem landscape related to AI applications in chemical and materials research.

Outstanding communication abilities with proven experience in conveying a value proposition to both technical and non-technical audiences.

To stand out from the crowd, you should have:

High-impact publications in artificial intelligence applications for chemistry, molecular modeling, or materials discovery.

Experience with CUDA, parallel programming, or performance-focused software development.

Contributions to open-source software for simulation, chemistry, or materials science.

Experience managing technical and business alliances across multiple partner groups and the peer team(s)

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