PhD Research Intern, AI for Climate and Weather Simulation - 2027

NVIDIA is hiring a PhD Research Intern, AI for Climate and Weather Simulation - 2027 in Santa Clara, United States. It pays $38-$94/hr and Level rates it ; you can apply on NVIDIA.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include PyTorch, Pytorch Lightning and GPUs.
Level classifies it as an internship.
Level lists 2,700+ other open roles at NVIDIA.
The role was posted in the last few days.

AI in this role

Conduct PhD-level research applying modern AI methods to earth system simulation, climate modeling, and weather prediction.

pytorchpytorch-lightninggpus

artificial-intelligenceclimate-modelingmachine-learningdeep-learningresearch

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 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 38 USD - 94 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until October 25, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

PhD Research Intern, AI for Climate and Weather Simulation - 2027 at NVIDIA rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

PhD Research Intern, AI for Climate and Weather Simulation - 2027 is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The listed pay is $38-$94/hr.
The role is based in US, CA, Santa Clara.
The job was posted on October 21, 2026.
Seniority: intern.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Artificial IntelligenceClimate ModelingMachine learningDeep learningResearchPyTorchPytorch LightningGPUs

Questions you could be asked

Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where climate modeling was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where research was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Artificial Intelligence, Climate Modeling, Machine learning, Deep learning, and Research. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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