PhD Research Intern, AI for Climate and Weather Simulation 2026

Overview

• NVIDIA is looking for research interns with a strong background relevant to applying modern AI methods to re-imagine technology across the Earth System Simulation and Analytics stack.
• Skills should be relevant to research on applied topics such as generative data assimilation, hybrid climate simulation, full model emulation of climate model components, regional-to-global high-resolution AI autoregressive weather prediction, and dynamical downscaling.
• We are hunting for highly creative, independent and self-starting research interns to help us invent that future.
• Strong computer scientists with sufficient knowledge of physical domain sciences are welcome.
• Alternately, very strong domain scientists with sufficient technical skills are, too.
• Come join a diverse research group that collaboratively works on hard and meaningful interdisciplinary problems with passion, drive and curiosity; that consistently publishes at top venues in climate science and artificial intelligence; and that values real impact on NVIDIA products and the world of academic and government climate prediction at large.
• What you’ll be doing: Propose, research, prototype and test innovative research ideas.
• Publish groundbreaking work at top conferences and journals.
• Collaborate with other research team members, fellow interns, internal product teams, external researchers and be mentored.
• Contribute to technology transfer with engineers around NVIDIA as ideas graduate from research to product.
• Make good use of top-of-the-line NVIDIA GPUs at scale for cutting edge research at the intersection of AI and climate science.
• What we need to see: Currently enrolled in at least the 2nd year of a Ph.D.
• in the geophysical sciences, computer science, applied math/statistics, or related fields.
• Strong research portfolio including one first-author publication that makes good use of AI.
• Proficiency or demonstrable ability to quickly absorb distributed deep learning training frameworks, e.g., PyTorch.
• Strong software engineering skills are necessary.
• Experience in scaling algorithms for high computational loads is a plus.
• Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts – are a plus.
• Expertise in climate domain science, nonlinear physics, or deep familiarity with associated synthetic and/or observational datasets and/or physical simulation systems are a plus.
• Excellent communication skills.
• NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most resourceful and dedicated people in the world working for us.
• Are you creative and autonomous? Do you love the challenge of exploring and creating the AI techniques that will define the future of weather and climate simulation? Are you a forward-thinker intrigued by a diverse set of AI algorithms and the opportunity to learn alongside NVIDIA Research experts in generative AI for other domains? Ready to make a lasting impact in climate science? Apply now and be part of a team shaping the future.