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Climate Modeling Internship Jobs (NOW HIRING)

High level of comfort with quantitative aspects of simple climate modeling, statistics and basic ... internships can count towards this. * A capacity to be truly accepting, caring and supportive ...

High level of comfort with quantitative aspects of simple climate modeling, statistics and basic ... internships can count towards this. * A capacity to be truly accepting, caring and supportive ...

Previous internship experience a plus. * Engineering in Training (EIT) license, successful ... issues like climate change, digital transformation, and future-proofing our cities and ...

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Climate Modeling Internship information

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How much do climate modeling internship jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for climate modeling internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a climate modeling internship?

A Climate Modeling Internship is a temporary position where interns assist with developing and analyzing climate models to understand environmental changes. Interns typically work with climate datasets, run simulations, and help interpret model results. They may use programming languages like Python, R, or MATLAB, along with climate modeling software. The role provides hands-on experience in atmospheric science, climate research, and data analysis.

What types of projects or research tasks might I work on during a climate modeling internship?

As a Climate Modeling Intern, you can expect to assist with running and analyzing climate simulations, processing large datasets, and developing tools for data visualization or model improvement. Your daily tasks may include coding, running experiments, and interpreting results under the guidance of experienced scientists or researchers. You'll likely work in a collaborative environment alongside experts from various disciplines such as meteorology, computer science, and environmental policy. This hands-on experience not only strengthens your technical and analytical skills but also provides insight into the real-world applications and impacts of climate science.

What are the key skills and qualifications needed to thrive in a climate modeling internship, and why are they important?

To thrive as a Climate Modeling Intern, you generally need a background in atmospheric science, environmental science, mathematics, or a related field, along with strong analytical and problem-solving skills. Familiarity with programming languages such as Python, MATLAB, or R, and experience working with climate modeling software (e.g., WRF, GCMs), are highly valued. Attention to detail, effective communication, and the ability to work collaboratively in interdisciplinary teams are important soft skills. These capabilities are essential for conducting accurate climate simulations, interpreting complex data, and successfully contributing to dynamic research projects.

More about Climate Modeling Internship jobs

What cities are hiring for Climate Modeling Internship jobs?

Cities with the most Climate Modeling Internship job openings:

What are the most commonly searched types of Climate Modeling jobs?

The most popular types of Climate Modeling jobs are:

What states have the most Climate Modeling Internship jobs?

States with the most job openings for Climate Modeling Internship jobs include:

What job categories do people searching Climate Modeling Internship jobs look for?

The top searched job categories for Climate Modeling Internship jobs are:

Infographic showing various Climate Modeling Internship job openings in the United States as of August 2026, with employment types broken down into 20% Internship, 60% Full Time, 10% Temporary, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

NVIDIA 2027 Internships: Ph.D. Research Generative AI

Nvidia

Santa Clara, CA

Full-time

Posted 3 days ago

New


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

By submitting your resume, you acknowledge that your Ph.D. Research Generative AI internship application will be processed in accordance with NVIDIA's Applicant Privacy Policy and you agree to our Terms of Service. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.


NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.


Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Generative AI teams. We're seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve.Learn more aboutResearch at NVIDIA.


What you will be doing:

  • Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA's business.
  • Collaborate with other team members, teams, and/or external researchers.
  • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products,and/or publishing original research.

What we need to see:

  • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship;anticipated graduation date (month and year)must be clearly indicated on a resume or CV to be considered.
  • Depending on the internship, prior experience or knowledge requirements couldinclude the following programming skills and technologies:Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX,Tensorflow, etc.)
  • Strong background in research with publications at top conferences.
  • Excellent communication and collaboration skills.
  • Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas:

  • Multimodal Foundation Models
  • Diffusion Models
  • World Models
  • Image, Video, or Audio Generation
  • Large Language Models
  • Vision-Language Models
  • Action-Based Transformers
  • Long Context Methods
  • Physics-Based Simulation
  • Flow Based Generative Models
  • Synthetic Data Generation
  • AI for Science

Protein/Molecule Generation

Climate Modeling and Weather Forecasting

Partial Differential Equations (PDEs)


Clickhereto learn more about NVIDIA, our early talent programs, benefits offered to studentsand other helpful student resources related to our latest technologies and endeavors.

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 Internbenefits.

Applications are accepted on an ongoing basis.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993