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Numerical Weather Prediction Jobs (NOW HIRING)

General Information

Los Angeles, CA · On-site

$58 - $98/hr

Monitor and analyze a wide range of meteorological data , including surface observations, satellite imagery, NEXRAD Doppler radar, and numerical weather prediction data, using AWIPS to maintain ...

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

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

Thorough understanding of various probabilistic and ensemble forecasting methodologies, with particular emphasis on the utilization of probabilistic numerical weather prediction methods for ...

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Numerical Weather Prediction information

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$51.5K

$100.1K

$148K

How much do numerical weather prediction jobs pay per year?

As of Aug 8, 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?

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 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.

What are the main challenges faced by professionals working in numerical weather prediction?

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.
More about Numerical Weather Prediction jobs
What cities are hiring for Numerical Weather Prediction jobs? Cities with the most Numerical Weather Prediction job openings:
What states have the most Numerical Weather Prediction jobs? States with the most job openings for Numerical Weather Prediction jobs include:
Infographic showing various Numerical Weather Prediction job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $100,142 per year, or $48.1 per hour.

Physical Scientist and Warn-on-Forecast System Developer

Lynker Corporation

College Park, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Overview

Lynker is seeking two talented physical scientists to support development and operational transition of NOAA's Warn-on-Forecast Systems (WoFS) under the Precipitation Prediction Grand Challenge (PPGC) program at the National Weather Service Office of Modeling and Development. The successful candidates will support the operational transition of the cloud-based WoFS version 1 which is built on the Weather Research and Forecasting (WRF) model and the Gridpoint Statistical Interpolation (GSI) data assimilation system, ensuring  the system meets operational implementation requirements, expanding the system to provide domains beyond the CONUS region, while improving forecast of extreme precipitation events and other high impact weather such as  tornadoes. The candidates will also collaborate with the National Severe Storm Laboratory (NSSL) and other partners on the development of next generation of WoFS (i.e., version 2) based on the Model for Prediction Across Scales (MPAS) and the Joint Effort for Data Assimilation Integration (JEDI) system.

Responsibilities

Successful candidates for this position will support the operational transition of WoFSv1 and the development of WoFS v2 within a cloud environment, focusing on model development, system integration, testing and optimization, and transition of WoFS v1 capabilities into NWS operations.

Duties of the Physical Scientist and Warn-on-Forecast System Developer will include the following:

  • Harden the cloud-based WoFSv1 system to meet the NWS NCO operational implementation requirements and support its operational transition.
  • Conduct rigorous model performance evaluations, benchmarking (WoFSv1 vs. WoFSv2), as well as retrospective and real-time simulations to evaluate forecast skills, operational readiness, and overall system value.
  • Expand the system's geographical scope by developing the capability to run WoFS outside the CONUS domain.
  • Develop new WoFS products and metrics for a wider range of high-impact weather hazards beyond severe convection, leveraging forecasters input.
  • Support the development and testing of the MPAS-JEDI-based WoFS v2 prototype.
  • Develop a robust, unified end-to-end workflow for the WoFSv2 system, integrating all components: model input preprocessing, data assimilation, forecasting, post-processing, product generation, and visualization.
  • Establish, maintain, and manage GitHub repositories to support version control and code development.
Qualifications

The Ideal Physical Scientist and Warn-on-Forecast System Developer will have the following:

  • Education: M.S or higher in Atmospheric Science, Meteorology, Computer Science, Software Engineering, or a closely related field.
  • Advanced knowledge of Numerical Weather Prediction (NWP) modeling of convective and mesoscale meteorology, ensemble data assimilation, and atmospheric physics and dynamics.
  • Experience in developing weather forecasting systems built on WRF and MPAS
  • Experience in software development, code management (e.g., GitHub), and integrating complex modeling and data assimilation components.
  • Experience assimilating weather radar, satellite, conventional, mesonet and conventional observations with GSI or JEDI to improve initial conditions for rapid-fresh, convection-allowing ensemble short-range weather prediction systems is preferred.
  • Programming Skills: Strong proficiency in Fortran and modern scripting languages, particularly Python (including scientific packages for AI/ML training and verification). 
  • Experience working within cloud High Performance Computing environments is highly desired.
  • Communication: Excellent oral and written communication skills with a proven ability to work both independently and within a multi-disciplinary team.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

 Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

    Employment Type: FULL_TIME