Senior Strategic Alliance Manager, AI for Chemistry and Material Science - HER

At NVIDIA, we believe AI will transform how new chemicals and materials are discovered. We’re looking for passionate technologists with a university or applied research background in AI for computational chemistry to engage the academic and research community. 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. What you'll be doing: Identify top researchers and labs within academic and scientific research institutions specializing in AI applied to Chemistry and Material Science. Lead strategic relationships with opinion leaders and researchers. Define NVIDIA's strategy for engaging developers in university and research environments by working with cross functional teams: Product, Engineering, Marketing, Applied Research, etc. Evangelize and directly engage target collaborators on building teaching kits Host developer and customer evangelism events: meetups, hackathons, lectures. Speak at relevant scientific, technical and industry conferences. What We Need To See: 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 Ways to stand out from the crowd: High-impact publications in artificial in...