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.
Requirements
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; including PyTorch, PyTorch-lightning, and standard methods for shell scripting, software environment management, and high performance parallel GPU computing.
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.
Benefits
Intern benefits
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Hard skills
distributed deep learningPyTorchPyTorch-lightningshell scriptingsoftware environment managementhigh performance parallel GPU computingalgorithm scalingsoftware developmentresearch prototypingtechnology transfer