# Research Intern - Earth System Simulation and Analytics

**Company**: NVIDIA
**Experience**: senior
**Job type**: internship
**Salary**: 38 USD - 94 USD
**Category**: IT
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--AI-for-Climate-and-Weather-Simulation---2027_JR2026949?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_69a9b5b6-b09

## Description

NVIDIA is seeking research interns to apply modern AI methods to re-imagine technology across the Earth System Simulation and Analytics stack.

The role involves proposing, researching, prototyping, and testing innovative research ideas, publishing groundbreaking work at top conferences and journals, collaborating with other research team members, and contributing to technology transfer with engineers.

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.

Requirements:

- 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.

Benefits:

- Intern benefits

- Hourly rate: 38 USD - 94 USD

## Skills

### Required
- PyTorch
- distributed deep learning
- software engineering
- GPU computing
- AI

### Nice to have
- climate domain science
- nonlinear physics
- synthetic datasets
- observational datasets
- physical simulation systems

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/PhD-Research-Intern--AI-for-Climate-and-Weather-Simulation---2027_JR2026949?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)