NVIDIA AI Research Internship Summer 2026 - Weather Simulation | Remote within UK
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| NVIDIA AI Research Internship Summer 2026 |
NVIDIA AI Research Internship (Weather Simulation) 2026 | Apply Now
Are you a visionary researcher ready to revolutionize climate science by harnessing the unprecedented power of artificial intelligence? The NVIDIA AI Research Internship in Weather Simulation offers a fully remote, highly exclusive opportunity in the UK to push the boundaries of Earth System Simulation. Step into a dynamic role where your expertise in deep learning and computational physics will directly shape the future of global high-resolution weather prediction alongside the brightest minds in tech.
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To instantly stand out to NVIDIA's elite research team, ensure your resume highlights specific hands-on experience scaling AI models across multiple GPUs using frameworks like PyTorch or JAX. Since this role bridges the gap between computer science and the physical sciences, tailor your cover letter to showcase your ability to drive complex, end-to-end research projects involving synthetic or observational climate datasets in rapidly changing software environments.
Key Highlights:
- Organization: NVIDIA Corporation
- Job Title: AI Research Intern - Weather Simulation 2026
- Job Requisition ID: JR2006536
- Duty Station: Remote - United Kingdom (UK)
- Work Mode: Full Time Internship
- Date Posted: March 2026
- Official Job Page: View Official Job Post
Particulars & Details
| Organization | NVIDIA |
|---|---|
| Department | NVIDIA Research / Earth System Simulation |
| Post Name | Weather Simulation Research Intern |
| Location | Remote (UK) |
| Duration | Summer 2026 |
| Work Type | Full-time Internship |
| Last Date to Apply | Ongoing Basis |
About the Role
NVIDIA is widely considered to be one of the technology world's most desirable employers, bringing together some of the most resourceful and dedicated people on the planet. The NVIDIA Research team is looking for highly creative, independent, and self-starting research interns to re-imagine technology across the Earth System Simulation and Analytics stack. You will have the unique opportunity to learn alongside experts in generative AI, exploring and creating the AI techniques that will definitively shape the future of weather and climate simulation.
Duties and Responsibilities
- Apply modern Artificial Intelligence methods to conduct groundbreaking research across the Earth System Simulation stack.
- Develop and optimize models for generative data assimilation and hybrid climate simulation.
- Create full model emulations of highly complex climate model components.
- Advance technologies for regional-to-global high-resolution AI autoregressive weather prediction and dynamical downscaling.
- Drive ambiguous, complex research projects end-to-end within a fast-paced, constantly changing software environment.
Eligibility Criteria
- Background Profile: Candidates must be either strong computer scientists with a sufficient working knowledge of physical weather/climate systems, OR domain scientists with robust computational and AI skills.
- Location Requirement: Applicants must be based in the United Kingdom and comfortable working in a fully remote environment.
Qualifications, Skills and Competencies
- Core Programming: Deep, practical proficiency in C++ and/or Python.
- Machine Learning: Strong expertise in deep learning, specifically utilizing frameworks such as PyTorch or JAX.
- Hardware Optimization (Bonus): Proven experience scaling AI models across multiple GPUs for high computational loads is considered a strong plus.
- Domain Knowledge (Bonus): Expertise in climate domain science, nonlinear physics, or a deep familiarity with associated synthetic/observational datasets and physical simulation systems is highly advantageous.
- Soft Skills: Excellent communication skills combined with a highly autonomous, creative problem-solving mindset.
Internship Conditions & Benefits
- Work Flexibility: Enjoy a fully remote setup within the UK, offering an excellent work-life balance while remaining connected to a global research network.
- World-Class Mentorship: Collaborate directly with and learn from elite NVIDIA Research scientists pioneering generative AI for diverse domains.
- Global Impact: Make a lasting, tangible impact on the future of climate science and planetary-scale simulation technology.
Application Fee
NVIDIA does not charge any application, processing, or training fees at any point during the recruitment process. Please remain vigilant against potential recruitment fraud and apply solely through the official NVIDIA Eightfold portal.
How to Apply
- Navigate to the official NVIDIA Eightfold Careers portal using the link provided below.
- Search for Job Requisition ID JR2006536 or "Weather Simulation 2026".
- Click "Apply Now" to join the Talent Network and create your applicant profile.
- Upload your comprehensive resume (in English), taking care to highlight your Python/C++ skills, PyTorch/JAX expertise, and any relevant climate or physics projects.
- Submit your application promptly.
Important Links
- Apply Online: Click Here to Submit Application
- NVIDIA Careers: nvidia.com/careers
FAQs
- Where is the internship located? The internship is completely remote for candidates based in the United Kingdom.
- What programming languages are required? You must have a strong proficiency in C++ and/or Python, alongside deep learning frameworks like PyTorch or JAX.
- Do I need a background in climate science? It is highly preferred. Ideal candidates are computer scientists with climate knowledge, or domain scientists with strong computational AI skills.
- What kind of projects will I work on? You will work on generative data assimilation, hybrid climate simulation, and high-resolution AI weather prediction.
Disclaimer: This opportunity is shared for informational purposes only. We at 99jobs.org are not the organizing or recruiting institution. We do not accept or process applications and cannot influence selection decisions. Applicants must apply directly through the official organization website. Please verify all details from the official source before applying.
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