Document what you know, and guide others. This can vary from building targeted training for partners and other Solution Architects, to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
Keep up-to-date on the latest techniques in AI for Chemistry and Materials Science, including atomistic simulation, machine learning interatomic potentials (MLIPs), graph neural networks (GNNs) for property prediction, and structural generative AI models.
What we need to see
Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.
BS or MS in Computational Chemistry, Physics, Computer Science, or related field (or equivalent experience)
5+ years of industry or academic experience in the manufacturing ecosystem, applying the latest advances in AI for Chemical and Material Science
Strong fundamentals in programming, optimizations and software design, especially in Python and C++
Ability to multitask effectively in a dynamic environment.
Strong analytical and problem-solving skills.
Proactive and have a strong desire to share knowledge with clients, partners and co-workers.
Ways to stand out from the crowd
Hands-on experience with CUDA and PyTorch
Experience developing or using Machine Learning Interatomic Potential (MLIP) models for chemical and materials discovery.
Working knowledge running MD and DFT simulations.
Familiarity with Graph Neural Networks (GNNs) for property prediction of molecules, polymers, and formulations.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family at www.nvidiabenefits.com/.
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.
