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Atmosphere Model Jobs (NOW HIRING)

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

About the role As we scale both our advertising business and our venue network, we are investing in the causal-inference and predictive-modeling foundation that will make Atmosphere smarter on both ...

Clatsop Community College

Artist Model

Astoria, OR · On-site

Ensure a professional and respectful atmosphere during modeling sessions, promoting a positive learning environment. Skills: The ability to hold poses is essential for this role, as it directly ...

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Atmosphere Model information

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How much do atmosphere model jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for atmosphere model in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is an atmosphere model?

An atmosphere model is a mathematical or computational representation of the Earth's atmosphere, used to simulate and predict atmospheric processes such as weather, climate, and air quality. These models use physics, chemistry, and data from observations to describe how air moves, how clouds form, and how energy is transferred within the atmosphere. Scientists and meteorologists rely on atmosphere models to forecast weather, study climate change, and assess environmental impacts. There are different types of models, ranging from simple to highly complex, depending on the purpose and scale of the study.

What are some common challenges faced by atmospheric modelers and how can they be addressed?

Atmospheric modelers often encounter challenges such as handling large datasets, integrating diverse sources of environmental data, and ensuring the accuracy of simulations. They must also stay current with evolving modeling software and computational techniques. Collaborating closely with meteorologists, climate scientists, and data analysts can help address these challenges by sharing expertise and refining models. Continuous professional development and participating in interdisciplinary research projects also support overcoming technical and scientific hurdles.

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, usually supported by a degree in meteorology, environmental science, or a related field. Familiarity with modeling software like WRF or CMAQ, programming languages such as Python or Fortran, and experience working with climate data sets are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities are vital for producing accurate atmospheric predictions and informing decisions related to weather forecasting, climate research, and environmental policy.

What is the difference between Atmosphere Model vs Atmospheric Scientist?

AspectAtmosphere ModelAtmospheric Scientist
CredentialsTypically requires a degree in atmospheric science, meteorology, or related fields; familiarity with modeling softwareRequires a degree in atmospheric science, meteorology, or related fields; often includes research experience
Work EnvironmentPrimarily involves working with computer models, simulations, and data analysis in research or government labsConducts fieldwork, data collection, and analysis; may work in labs, offices, or outdoors
Industry UsageUsed by climate research centers, weather agencies, and environmental organizations for forecasting and climate modelingEmployed by research institutions, government agencies, and universities for studying atmospheric phenomena

While an Atmosphere Model focuses on developing and running simulations of atmospheric processes, an Atmospheric Scientist conducts research, data collection, and analysis to understand weather and climate patterns. Both roles require similar educational backgrounds but differ in daily tasks and work environments.

More about Atmosphere Model jobs
What cities are hiring for Atmosphere Model jobs? Cities with the most Atmosphere Model job openings:
What states have the most Atmosphere Model jobs? States with the most job openings for Atmosphere Model jobs include:
What job categories do people searching Atmosphere Model jobs look for? The top searched job categories for Atmosphere Model jobs are:
Atmosphere Model jobs near you
Infographic showing various Atmosphere Model job openings in the United States as of August 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Modeling & Simulation Engineer

Waypoint Human Capital

Chantilly, VA • On-site

Full-time

Re-posted 3 days ago

Job description

Position Title: Modeling & Simulation Engineer
Position Type: Full-time; Onsite
Position Location: Chantilly, VA
Clearance Required: Active TS/SCI CI Poly
Waypoint's client is seeking a highly motivated and skilled Modeling & Simulation Engineer to join their team supporting a critical government client. This position offers the opportunity to work on cutting-edge projects within the aerospace domain.
Responsibilities:
  • Define modeling requirements from user needs and system architecture and develop scripts to automate scenario modeling and performance analysis.
  • Develop models of the end-to-end phenomenology chain, including generating complex EO/IR target signatures (BRDF, thermal), modeling atmospheric radiative transfer using tools like MODTRAN, and integrating realistic cloud clutter and terrain backgrounds.
  • Oversee mission-level simulation to assess ISR constellation performance.
  • Conduct trade studies on future ISR constellations.
  • Assess the resilience of specificized ISR architecture; model the space environment's impact on payload performance, including radiation effects on focal plane arrays, and analyze the vulnerability of established PNT (Positioning, Navigation, and Timing) systems to RF interference.
  • Utilize Python for model development, data analysis, and simulation execution.
  • Leverage AFSIM (or similar aerospace simulation software) for analysis and performance prediction.
  • Incorporate phenomenological modeling principles into relevant models and simulations.

Required Qualifications:
  • Active TS/SCI clearance with Poly.
  • Bachelor's degree in Aerospace Engineering or a related field.
  • 5+ years of experience in modeling and simulation, preferably within the aerospace industry.
  • Strong proficiency in Python programming.
  • Familiarity with AFSIM or similar aerospace simulation tools.
  • Solid understanding of orbital mechanics and space systems.
  • Experience with phenomenological models, including a demonstrated ability to model relevant physical phenomena and validate those models.
  • Experience modeling solar illumination effects, thermal emissions, Bidirectional Reflectance Distribution Function (BRDF) for material identification, and temperature dynamics of a target.
  • Experience modeling Radar Cross Section (RCS) for various frequencies and polarizations, and the signatures of active RF emitters.
  • Experience with atmospheric models (like MODTRAN or LibRadtran) to simulate absorption, scattering, turbulence (seeing effects), and path radiance.
  • Experience generating realistic backgrounds, including Earth limb radiance, cloud clutter models, terrain-specific thermal and optical properties, and celestial backgrounds (stars, zodiacal light).
  • Excellent communication and teamwork skills.
Preferred Qualifications:
  • Master's degree in Aerospace Engineering or a related field.
  • Experience with other simulation tools and programming languages.
  • Experience with non-cooperative target tracking.
  • Experience with collection & revisit modeling.
  • Experience modeling the dynamics of rapid slewing and settling of the spacecraft bus and pointing systems.
  • Demonstrated experience modeling the end-to-end Synthetic Aperture Radar (SAR) chain.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure).

*Waypoint Human Capital is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender, national origin, age, protected veteran status, or disability status.

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