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PhD Research Intern, AI for Climate and Weather Simulation - 2027
NVIDIA
US, CA, Santa Clara · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
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.
Responsibilities
- 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 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; including PyTorch, PyTorch-lightning, and standard methods for shell scripting, software environment management, and high performance parallel GPU computing.
Languages
- Work format
- On-site
- Seniority
- Intern
- Posted
- 21 Oct 2026
- Last verified
- In the last 5 days
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