Research Scientist, AI for Climate & Weather Simulation - New College Grad 2025

Posted:
11/4/2024, 4:00:00 PM

Location(s):
Santa Clara, California, United States ⋅ California, United States

Experience Level(s):
Entry Level/New Grad ⋅ Mid Level

Field(s):
AI & Machine Learning

Workplace Type:
Hybrid

NVIDIA Research’s AI Climate and Weather Simulation Team is looking for a research scientist. Our mission is to re-imagine technology across the Earth System Modeling stack using new ideas in AI on applied topics such as generative data assimilation, hybrid climate simulation, full model emulation of climate model components, region-to-global high-resolution weather prediction, and dynamical downscaling. We are hunting for a highly creative, independent and self-starting research scientist to help us invent that future. 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, internal product teams, external researchers and mentor interns. 

  • Participate in 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: 

  • Ph.D. in the geophysical sciences, computer science, applied math/statistics, or related fields (or equivalent experience).

  • Outstanding research portfolio including first-author publications that make good use of AI. 

  • Proficiency with distributed deep learning training frameworks, e.g., PyTorch.  

  • Strong software engineering skills. 

  • Experience in scaling algorithms for high computational loads. 

  • Experience developing in a changing software environment and ability to drive research projects end-to-end -- including the messy parts  

  • Expertise in climate domain science, nonlinear physics, or deep familiarity with associated synthetic and observational datasets and physical simulation systems.  

  • 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. 

The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality