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Atmospheric Modeling Jobs (NOW HIRING)

EO Solutions

Sr. Mechanical Engineer

Las Vegas, NV

$100K - $132K/yr

With world-class expertise in laser sources, beam control, tracking and targeting, atmospheric modeling, and system architecture, we design, integrate, and deploy advanced solutions that make a real ...

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Atmospheric Modeling information

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$29K

$93.6K

$183K

How much do atmospheric modeling jobs pay per year?

As of Jun 14, 2026, the average yearly pay for atmospheric modeling in the United States is $93,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Atmospheric Modeling vs Meteorologist?

AspectAtmospheric ModelingMeteorologist
Required CredentialsDegree in atmospheric sciences, meteorology, or related field; often requires programming skillsDegree in meteorology, atmospheric sciences, or related; may include certification or licensing
Work EnvironmentResearch labs, government agencies, or academic institutions; focus on simulations and data analysisWeather stations, media, government agencies; focus on weather forecasting and communication
Industry UsageUsed for climate modeling, weather prediction, and environmental researchUsed for daily weather forecasts, severe weather alerts, and public information

While both roles involve understanding atmospheric phenomena, atmospheric modeling focuses on creating simulations and predictive models using computer algorithms, whereas meteorologists interpret weather data to provide forecasts and public advisories. Both careers require a strong background in atmospheric sciences, but their daily tasks and work environments differ significantly.

What are the main challenges atmospheric modelers face when integrating new data sources into existing models?

Atmospheric modelers often encounter challenges when incorporating new data sources, such as ensuring data quality, consistency, and compatibility with existing model frameworks. Integrating data from various sensors or satellites may require preprocessing to address differences in resolution, timing, or measurement techniques. Additionally, updating models with new data can impact computational efficiency and require recalibration or validation to maintain accuracy. Close collaboration with data scientists and other researchers is common to streamline this process and ensure robust model performance.

What are the key skills and qualifications needed to thrive as an Atmospheric Modeler, and why are they important?

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, often supported by an advanced degree in meteorology or a related field. Familiarity with programming languages like Python or Fortran, experience using atmospheric modeling software (such as WRF or GCMs), and proficiency in data analysis tools are typically required. Critical thinking, problem-solving, and effective communication are important soft skills for interpreting model results and collaborating with multidisciplinary teams. These competencies are crucial for producing accurate forecasts, advancing scientific understanding, and informing policy or operational decisions based on atmospheric data.

What is atmospheric modeling?

Atmospheric modeling is the use of computer-based mathematical models to simulate and predict the behavior of the Earth's atmosphere. These models help scientists understand weather patterns, climate change, air pollution, and other atmospheric phenomena. Atmospheric modeling is essential for making weather forecasts, studying long-term climate trends, and assessing environmental impacts. The field combines physics, chemistry, and data analysis to create simulations that can be used by researchers, meteorologists, and policymakers.
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Atmospheric Modeling jobs near you
Scientific Software Developer (ABQ)

Scientific Software Developer (ABQ)

Stellar Science

Albuquerque, NM • On-site

Full-time

Posted 19 days ago

Job description

We hire smart Scientists and Software Engineers who love to create and maintain high quality, extensible code, and want to learn and adopt modern C++ practices.

Support software development in the following domains: computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, atmospheric modeling, computational electromagnetics (CEM), space domain awareness (SDA), high performance computing (HPC), and computer aided design (CAD) tools, artificial intelligence (AI) and machine learning (ML) techniques, among others.

Minimum Requirements:

  • B.S. in math, science, engineering field, or computer science
  • Substantial software development experience
  • Object-oriented design and C++ programming experience
  • Adept at learning new paradigms and programming development processes
  • Interest in developing modern, high quality C++20/23 code
  • U.S. citizen, willing to undergo background investigation, and perform some work at government and/or customer sites

Desired:

  • Advanced degree (M.S. or Ph.D.) in science, engineering field, math, or computer science
  • Active security clearance

Experience in any of the following is a plus:

  • Additional languages: Java, Python, TypeScript
  • Relevant libraries: Boost, Eigen
  • Cross-platform software development on Linux, Windows, Mac
  • 3D graphics using OpenGL, Open Scene Graph and/or WebGL
  • User interface development with Qt, Java Swing, Material UI
  • Supercomputing: OpenMP, threads, MPI, GPUs
  • Image processing, imagery analysis, or computer vision, computer aided design (CAD)
  • Aerospace vehicles, orbital mechanics, electromagnetics, space domain awareness
  • Modeling and simulation, including directed energy
  • Machine learning and data analysis using Python (pandas, NumPy, SciPy, scikit-learn), C++, and frameworks such as PyTorch and TensorFlow
  • Reinforcement learning, large language model development, computer vision, data mining, and core ML techniques (classification, regression, clustering)
  • Experience with Advanced Framework for Simulation Integration & Modeling (AFSIM)

A representative sample of your code may be requested early in the evaluation process, e.g. something you've written for work, for a class, or for fun. It should be long enough to help evaluate your programming and software engineering skills.

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