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Numerical Weather Prediction Jobs (NOW HIRING)

Mantari

Software Engineer

Long Beach, CA · On-site

Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence * Background in physics-informed ML, simulation modeling, or data assimilation * Contributions to open ...

Fujitsu

Research Intern - GHAI-2

Santa Clara, CA · On-site

$40 - $55/hr

Background in fluid dynamics, atmospheric modeling, numerical weather prediction, or related physical sciences is a plus. * Excellent written and verbal communication skills, and the ability to ...

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How much do numerical weather prediction jobs pay per year?

As of May 31, 2026, the average yearly pay for numerical weather prediction in the United States is $100,142.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Numerical Weather Prediction Scientist, and why are they important?

To excel as a Numerical Weather Prediction (NWP) Scientist, you need a strong background in meteorology, mathematics, and computer science, often supported by an advanced degree in a related field. Familiarity with programming languages like Python or Fortran, experience with high-performance computing, and knowledge of atmospheric modeling systems such as WRF or ECMWF models are typically required. Analytical thinking, problem-solving ability, and effective teamwork are crucial soft skills for interpreting complex data and collaborating across disciplines. These competencies are vital for developing accurate weather forecasts and advancing predictive capabilities that impact public safety and resource planning.

What are the main challenges faced by professionals working in Numerical Weather Prediction (NWP)?

Professionals in Numerical Weather Prediction often encounter challenges such as handling large volumes of meteorological data, optimizing complex models for accuracy, and keeping up with advances in computational technology. Collaboration with meteorologists, data scientists, and computer engineers is common to ensure that models are both accurate and efficient. Additionally, NWP specialists are expected to interpret model outputs for practical forecasting, requiring strong analytical skills and attention to detail. Continuous learning and adaptation are key as the field evolves rapidly with new research and technological developments.

What is numerical weather prediction?

Numerical Weather Prediction (NWP) is the use of mathematical models and computer simulations to forecast the weather. These models use current observations of the atmosphere, oceans, and land surface to solve equations describing atmospheric physics and dynamics. By running these models on powerful computers, meteorologists can predict weather conditions from hours to several days or even weeks into the future. NWP models are essential for modern weather forecasting and are used by meteorological agencies worldwide.
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What cities are hiring for Numerical Weather Prediction jobs? Cities with the most Numerical Weather Prediction job openings:
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Numerical Weather Prediction jobs near you
Infographic showing various Numerical Weather Prediction job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 100% Physical job distribution, with an average salary of $100,142 per year, or $48.1 per hour.
Research Scientist (Atmospheric Science)

Research Scientist (Atmospheric Science)

Karen Clark & Company

Boston, MA • On-site, Remote

Full-time

Posted 18 days ago

Job description

Karen Clark & Company seeks a highly motivated physical scientist with experience in the field of atmospheric science to join our growing Model Development Team in our Downtown Boston office. In this position, you will work closely with other scientists and engineers to develop our suite of advanced, atmospheric-peril catastrophe models.

Expected Salary Range: $90,000-$100,000

About KCC

Karen Clark & Company (KCC) is the innovation and technology leader in weather, climate, and catastrophe risk modeling. KCC professionals are globally recognized experts in catastrophe modeling and risk management. From our headquarters in Boston, Massachusetts, we provide advanced models, innovative software, and comprehensive consulting services to enhance risk management strategies and climate resiliency. KCC modeling technology currently covers tropical cyclones, extratropical cyclones, severe convective storms, floods, earthquakes, winter storms, and wildfires in over 80 countries. For information please visit www.kcc.us.com

Responsibilities

  • Collaborate with scientists and engineers to develop the technical aspects of atmospheric peril hazard and impacts models by applying state-of-the-art data processing and machine learning techniques
  • Collect and analyze large data sets of atmospheric data (e.g., numerical weather prediction, radar, satellite, etc.)
  • Compile related literature and datasets required for model development
  • Conduct model sensitivity and validation tests
  • Provide documentation for technical publications
  • Conduct post disaster field surveys after major events

Qualifications

  • PhD in geophysical science (atmospheric science preferred), physics, applied mathematics, or related field
  • Knowledge and experience in atmospheric processes related to synoptic scale, mesoscale, and convective scale weather systems
  • Knowledge and experience working with remote sensing data
  • Knowledge and experience in advanced probability and statistical methods as well as machine learning
  • Programming experience in a widely used language like Python
  • Ability to work independently and in a team environment
  • Excellent oral and written communication skills including an eye for professional presentation
  • Ability to travel within the US or internationally with little advance notice
  • Experience with GIS software (e.g., QGIS, ArcGIS, etc.) is a plus
  • Knowledge of C# programming language a plus
  • Experience in catastrophe modeling a plus
    Employment Type: FULL_TIME

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