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Climate Modeling Jobs in California (NOW HIRING)

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How much do climate modeling jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for climate modeling in California is $39.81, according to ZipRecruiter salary data. Most workers in this role earn between $30.82 and $42.93 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Climate Modeling position, and why are they important?

To thrive in Climate Modeling, you generally need a strong background in atmospheric or environmental science, mathematics, and computer programming, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python, R, or Fortran, as well as experience using climate modeling software like WRF or CESM, is highly valuable. Strong analytical thinking, problem-solving, and effective collaboration and communication skills set candidates apart. These skills are critical because the role involves translating complex scientific data into actionable insights for research, policy, and industry decision-making.

Do climatologists make good money?

Climatologists, as specialized scientists studying climate systems, typically earn salaries that are competitive within the scientific research field, with median annual wages around $80,000 to $100,000 depending on experience, education, and location. Advanced roles in government agencies, research institutions, or private industry can offer higher compensation, especially for those with specialized skills in data analysis and modeling tools. Job prospects often depend on research funding and demand for climate-related expertise.

What is a Climate Modeling job?

A Climate Modeling job involves using computer simulations to study and predict climate patterns and changes over time. Professionals in this field develop models that analyze factors like atmospheric composition, ocean currents, and greenhouse gas emissions to assess future climate scenarios. These models help scientists, policymakers, and organizations make informed decisions about climate change mitigation and adaptation strategies. Climate modelers often work in research institutions, government agencies, or environmental organizations, requiring expertise in atmospheric science, mathematics, and programming.

What are the typical collaboration opportunities or interdisciplinary interactions for a Climate Modeling professional?

Professionals in Climate Modeling frequently collaborate with other scientists, engineers, and policy analysts to assess environmental impact, develop models, and interpret data. Teamwork is common, often involving regular meetings with meteorologists, data scientists, and stakeholders from government, academia, or private industry. These interdisciplinary interactions enrich the modeling process by integrating various perspectives and expertise, helping ensure accurate and practical climate solutions. Such collaboration is essential for translating technical findings into applications that inform climate strategies and decision-making.

How to do climate modeling?

Climate modeling involves developing computational simulations of the Earth's climate system using specialized software and data analysis skills. Climate modelers typically work with programming languages like Python or Fortran, utilize climate data sets, and understand atmospheric, oceanic, and land processes to predict future climate scenarios.

What is a climate modeler?

A climate modeler is a scientist who develops and uses computer models to simulate Earth's climate systems and predict future climate changes. They typically work with programming languages, climate data, and modeling software, often requiring a background in atmospheric science, environmental science, or related fields.

What degree do you need to be a climate change analyst?

A climate change analyst typically needs at least a bachelor's degree in environmental science, climate science, meteorology, or a related field. Advanced positions may require a master's degree or higher, along with skills in data analysis, modeling, and familiarity with climate tools and software.
What are the most commonly searched types of Climate Modeling jobs in California? The most popular types of Climate Modeling jobs in California are:
What are popular job titles related to Climate Modeling jobs in California? For Climate Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Climate Modeling jobs in California look for? The top searched job categories for Climate Modeling jobs in California are:
What cities in California are hiring for Climate Modeling jobs? Cities in California with the most Climate Modeling job openings:
Climate Modeling jobs near you
Senior Developer Technology Engineer, Public Sector

Senior Developer Technology Engineer, Public Sector

Nvidia Corporation

Santa Clara, CA • On-site

$64 - $84.50/hr

Full-time

Posted 17 days ago

Job description

We are now seeking a Senior Developer Technology Engineer for the Public Sector!
NVIDIA is hiring passionate, world-class computer scientists and engineers to work in its Public Sector Developer Technology (Devtech) team! In this role, you will research and develop techniques to GPU-accelerate leading applications in the federal ecosystem, including fields such as CFD, Electronic Design Automation, Graph Theory, Weather/Climate Modeling, and AI in HPC. You will be performing in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures.
What you'll be doing:
  • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through reference code development, direct contribution to the full software stack including libraries, applications.
  • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models, by investigating the impact on application performance and developer productivity.
  • Occasional travel from time to time for conferences and on-site visits with developers.

What we need to see:
  • Have an MS or PhD degree or equivalent experience in Computer Science, Engineering or STEM field.
  • Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms.
  • 5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM).
  • Strong computer science fundamentals, ideally including parallel data structures and algorithms, combinatorics, and sparse representations.
  • Passion for optimizing codes to run exceptionally fast through parallel programming.

Ways to stand out from the crowd:
  • Experience optimizing complex codes, especially for GPUs, including kernel optimization and strong understanding of how software runs on hardware. A background with algorithm and architecture codesign is a plus.
  • Domain expertise in any of the following: electronic design automation, high-performance computing, computational fluid dynamics, data and graph analytics, data-science, network analysis, machine learning, or deep learning.
  • Experience in profiling and optimizing applications and frameworks including experience with Nsight Systems and Nsight Compute.
  • Experience in developing or optimizing workflows involving HPC and AI models.

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA is widely considered to be one of the world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and like making code run as fast as possible through a combination of critical thinking, profiling, and hardware and software knowledge, we want to hear from you
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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 logo

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

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