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; 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.
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.
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.You will also be eligible for Intern benefits.
Applications for this job will be accepted at least until October 13, 2025. 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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
