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NVIDIA
You will identify and engage top researchers in AI for chemistry and material science to drive NVIDIA platform adoption. Additionally, you will define strategic partnerships and lead technical collaborations within the academic and research ecosystem.
Candidates must hold a PhD in computational chemistry, materials science, computer science, or a related field. You need at least 6 years of experience in machine learning, interatomic potentials, generative modeling, or quantum chemistry workflows.
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.Generate a resume tailored to this job's requirements based on your uploaded resume.
Base Salary (from JD)
$184,000 – $356,500
AI Est. Total Comp
$510,000
Location
Santa Clara
Work Type
Remote OK
Seniority
senior level
Experience
5-10 years
Category
management
Quality Score
9.6