PhD Research Intern, AI for Climate and Weather Simulation - 2026 at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Artificial Intelligence, Climate ScienceIndustries

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, including PyTorch, PyTorch-lightning, and standard methods for shell scripting, software environment management, and high performance parallel GPU computing
Excellent communication skills
Experience in scaling algorithms for high computational loads (plus)
Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts – (plus)
Expertise in climate domain science, nonlinear physics, or deep familiarity with associated synthetic and/or observational datasets and/or physical simulation systems (plus)

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

Skills

Deep Learning

Distributed Deep Learning

Generative Data Assimilation

Climate Simulation

Weather Prediction

Dynamical Downscaling

Geophysical Sciences

Computer Science

Applied Math

Statistics

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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