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Numerical Weather Prediction Jobs (NOW HIRING)

The Pennsylvania State University

... numerical weather prediction and data assimilation. In particular, the postdoc would be part of the team spanning NASA Goddard, Purdue University, Penn State University, and others to support the ...

Verisk

ML Scientist (Atmospheric Science)

Boston, MA · On-site

$115K - $135K/yr

... numerical weather prediction outputs). • Familiarity with geospatial data processing and visualization tools (e.g., xarray, NetCDF, pandas). • High degree of comfort deploying machine learning ...

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How much do numerical weather prediction jobs pay per year?

As of May 30, 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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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.

Physical Scientist - HAFS Developer

Lynker Corporation

College Park, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Overview

Lynker is seeking a Physical Scientist - HAFS Developer to support a long term NOAA contract, carrying out research and development work related to future operational hurricane forecast systems. The successful Physical Scientist - HAFS Developer will involve the development, testing, and evaluation of the Hurricane Analysis and Forecast System (HAFS), which is the Unified Forecast System's (UFS) hurricane application, providing reliable, robust, and skillful model forecasts for tropical cyclones (TCs). This role is a future opportunity, and contingent on contract award.

Responsibilities

Duties of the Physical Scientist - HAFS Developer will include the following:

The Physical Scientist - HAFS Developer will perform the job duties in a high-quality, independent, and collaborative way, assisting in managing projects and developing and applying innovative methods for the primary work areas. The candidate will work with NOAA scientists and external collaborators to develop and evaluate the current and future operational hurricane forecast systems, as well as to design, develop and evaluate HAFS ensemble analysis and forecast for downstream applications. The candidate will work with advanced UFS infrastructure and multi-scale modeling framework, improving hurricane specific physics, data assimilation, dynamics, and high-resolution telescoping and moving nest techniques. Detailed responsibilities will include at least two aspects or more of the following areas.

  • Implement and advance hurricane-specific physics schemes within the UFS framework.
  • Develop and advance inner-core storm initialization and data assimilation techniques for hurricane forecasting.
  • Develop and improve UFS-based dynamics and moving-nesting for high-resolution hurricane modeling.
  • Develop and advance UFS-based earth system (atmosphere, land, ocean, wave, storm surge, etc.) coupled modeling system for hurricane forecasting.
  • Develop advanced scripts for flexible end-to-end system integration and automation, and allow for additional functionalities.
  • Design, setup, and conduct pre-implementation tests for experimental and operational hurricane model upgrades.
  • Explore, develop, test and evaluate the HAFS based ensemble forecast system.
Qualifications

The Physical Scientist - HAFS Developer selected should have the following:

  • A Master's Degree or higher in atmospheric sciences or meteorology, oceanic, mathematics, or related physical science
  • 2+ years of experience in the area of hurricane and tropical cyclone (TC) modeling.
  • Advanced knowledge of tropical meteorology and experience in developing hurricane numerical weather prediction (NWP) systems for operational implementation.
  • Excellent knowledge and skills of modern programming languages and object-oriented languages, such as FORTRAN90 and Python.
  • Skills and knowledge of the High Performing Computing environment.
  • Proficient with modern software development practices and version control software.
  • Demonstrated skill in communicating effectively with scientists of diverse backgrounds on technical details of the work plan and present results accurately and clearly in both oral and written form.
  • Ability to work independently on complex problems in a team and fast-paced environment and demonstrated skill in performing tasks requiring organization and attention to detail.
  • Ability to support team initiatives, demonstrate respect for team members, and seek team consensus

The Ideal Physical Scientist - HAFS Developer will have the following:

  • Experience with Artificial Intelligence (AI) weather modeling, specifically for hurricane prediction, is a BIG PLUS 
  • Familiarity with operational NWP and/or an operational forecasting environment. 
  • Experience with UFS applications and knowledge of earth system modeling.
  • Experience in high-resolution model development in various infrastructures (ESMF, FMS, CCPP, JEDI, etc.).
  • Familiarity with advanced TC data assimilation systems/algorithms.
  • Experience/knowledge of hurricane model evaluation and verification.
  • Familiarity with agile software development practices.

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

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