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 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)
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 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 a diverse 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.If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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NVIDIA is a publicly traded, multinational technology company headquartered in Santa Clara, California. NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI.
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