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Atmosphere Model Jobs in Dallas, TX (NOW HIRING)

Conduct propagation studies, evaluating path loss, fading, and atmospheric effects. * Generate ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Conduct propagation studies, evaluating path loss, fading, and atmospheric effects. * Generate ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

... atmospheric effects. * Conduct wireless coverage predictions and heatmap generation for diverse ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

... loss, fading, and atmospheric effects. * Conduct wireless coverage predictions and heatmap ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Senior Financial Analyst

Plano, TX · On-site

$82K - $102K/yr

Highland's employees thrive in an atmosphere of appreciation & confidence, contributing their ... Reporting to the FP&A Manager, this role is responsible for financial modeling, budgeting ...

Senior Financial Analyst

Plano, TX

$82K - $102K/yr

Highland's employees thrive in an atmosphere of appreciation & confidence, contributing their ... Reporting to the FP&A Manager, this role is responsible for financial modeling, budgeting ...

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Atmosphere Model information

See Dallas, TX salary details

$10

$31

$66

How much do atmosphere model jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for atmosphere model in Dallas, TX is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $38.75 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.

How to become an atmosphere model?

To become an atmosphere model, candidates typically need a bachelor's degree in atmospheric science, meteorology, or a related field. Developing skills in climate modeling software, programming languages like Python or Fortran, and understanding of atmospheric physics are essential. Gaining experience through internships or research projects can also improve job prospects.

What job categories do people searching Atmosphere Model jobs in Dallas, TX look for?

The top searched job categories for Atmosphere Model jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Atmosphere Model jobs?

Cities near Dallas, TX with the most Atmosphere Model job openings:

Infographic showing various Atmosphere Model job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,543 per year, or $31 per hour.

RF Propagation and Modeling Engineer

Plano, TX • On-site


Nokia
Media and Telecom • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

31st of 101 rated telecommunications companies

People enjoy working here

Good employer

Good training


$147K - $274K/yr

Full-time

Re-posted 5 days ago


Job description


We are seeking an experienced RF engineer to join our dynamic team and make a significant impact on wireless communication systems. As an RF Propagation and Modeling Engineer, you will play a vital role in developing and validating RF propagation models, ensuring optimal coverage and capacity for our clients. This role provides an excellent platform to work with diverse engineering teams and stay at the forefront of wireless technology advancements.
Responsibilities
  • Develop and calibrate RF propagation models for Wi-Fi, 5G NR, and NTN bands.
  • Conduct propagation studies, evaluating path loss, fading, and atmospheric effects.
  • Generate wireless coverage predictions and heatmaps for various scenarios.
  • Analyze RF coverage and perform capacity planning for industrial and mission-critical systems.
  • Model and optimize end-to-end throughput performance under different RF conditions.
  • Design wireless networks to meet coverage, capacity, and throughput objectives.
  • Build and maintain simulation environments for propagation analysis.
  • Conduct field surveys and validate propagation models with measurement data.
  • Develop automation tools for RF analysis and data visualization.
  • Collaborate with cross-functional teams, including RF design and systems engineering.

Qualifications
  • Bachelor's or Master's degree in Electrical/Telecom/Wireless Engineering, Computer Engineering, or Physics.
  • 5+ years of experience in RF engineering, propagation modeling, or wireless network planning.
  • Expertise in electromagnetic wave propagation, RF fundamentals, and antenna theory.
  • Proficiency in Python and MATLAB for programming and analytics tasks.
  • Experience with Wi-Fi, 5G NR, NTN, and mission-critical wireless technologies.
  • Knowledge of RF planning tools and GIS mapping systems is an asset.
  • Familiarity with geospatial analysis, digital terrain modeling, and LiDAR-based propagation analysis techniques.
  • Strong analytical skills for interpreting complex RF data.
  • Excellent technical communication and documentation abilities.
  • Experience working in multidisciplinary engineering teams and customer-facing roles.


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