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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, internal product teams, external researchers and mentor interns.
Make good use of top-of-the-line NVIDIA GPUs at scale for cutting edge research at the intersection of AI and climate science.
Help lead technology transfer with engineers around NVIDIA as ideas graduate from research to product.
What we need to see:
Ph.D. in the geophysical sciences, computer science, applied math/statistics, or related fields.
At least 4 years of research experience in deep learning, computer vision, generative AI, or related fields.
Outstanding research portfolio including multiple first-author publications in reputable conferences or journals that make good use of AI.
Excellent taste in problem selection.
Proficiency with distributed deep learning training frameworks, e.g., PyTorch. Bonus for CUDA.
Excellent software engineering skills and experience in scaling algorithms for high computational loads.
Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts
Preferred: Synergistic expertise in climate domain science, nonlinear physics, and familiarity with associated synthetic and observational datasets and physical simulation systems.
Excellent communication & collaboration skills; ability to variably lead or contribute as needed.
Drive to transfer technology to products.
You will also be eligible for equity and .
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