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Weather Prediction Software Engineer Jobs (NOW HIRING)

Socket.dev

Sr. Embedded Software Engineer

Boston, MA · On-site

$150 - $200/hr

... into our numerical weather prediction (NWP) system. The work you do will enable real-time ... systems engineering teams to integrate application software with embedded platforms, payload ...

Mantari

Software Engineer

Torrance, CA · On-site +1

Automate data ingest and feature engineering from our growing sensor network (satellite, buoy ... Experience with numerical weather prediction, remote-sensing data, or geospatial intelligence

Tomorrow.io

Sr. Embedded Software Engineer

Boston, MA · On-site

$134K - $176K/yr

... into our numerical weather prediction (NWP) system. The work you do will enable real-time ... systems engineering teams to integrate application software with embedded platforms, payload ...

Tomorrow.io

Sr. Embedded Software Engineer

Boston, MA · On-site

$134K - $176K/yr

... into our numerical weather prediction (NWP) system. The work you do will enable real-time ... systems engineering teams to integrate application software with embedded platforms, payload ...

Tomorrow.io

Machine Learning Scientist

Golden, CO · Remote

We are seeking a Machine Learning Scientist with experience in AI weather prediction to help ... Collaborate with scientists and engineers to transition successful research from proof-of-concept ...

Innovim

Scientific SME - NOAA

Silver Spring, MD · On-site

... the numerical-weather-prediction teams credibly and evaluates transition readiness against ... The advisor supports, but does not perform, the underlying science or software development. Key ...

Mantari

Software Engineer

Torrance, CA · On-site

... weather systems with a full stack, AI-native platform that senses, models, and predicts Earth ... Backed by premier venture capital and led by engineers and scientists who've landed rockets and ...

INNOVIM

Scientific SME - NOAA

Silver Spring, MD · On-site

... the numerical-weather-prediction teams credibly and evaluates transition readiness against ... The advisor supports, but does not perform, the underlying science or software development. Key ...

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Weather Prediction Software Engineer information

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How much do weather prediction software engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for weather prediction software engineer in the United States is $55.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $83.17 per hour, depending on experience, location, and employer.

What does a weather prediction software engineer do?

A Weather Prediction Software Engineer designs, develops, and maintains software systems used for forecasting weather. They work with meteorological data, implement numerical models, and optimize code for performance and accuracy. Their responsibilities often include collaborating with scientists to translate complex algorithms into reliable software, ensuring data integrity, and integrating new technologies. This role typically requires strong programming skills, knowledge of atmospheric science, and experience with high-performance computing.

What are the key skills and qualifications needed to thrive as a weather prediction software engineer?

To thrive as a Weather Prediction Software Engineer, you need a strong background in computer science, numerical modeling, meteorology, and experience with programming languages like Python, C++, or Fortran, often supported by a relevant degree. Familiarity with high-performance computing (HPC) environments, version control systems like Git, and specialized weather modeling tools such as WRF or GFS is typically required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for translating complex scientific concepts into reliable software solutions. These skills enable the development of accurate, efficient weather prediction systems that support timely decision-making and public safety.

What are some typical challenges weather prediction software engineers face when working with large-scale weather data?

Weather Prediction Software Engineers often deal with vast and complex datasets from satellites, weather stations, and sensors. One major challenge is optimizing data processing pipelines to handle real-time data efficiently while maintaining accuracy in the models. Additionally, ensuring software scalability and reliability, especially during severe weather events, requires close collaboration with meteorologists and IT infrastructure teams. Continuous learning is also essential, as weather modeling techniques and computational tools rapidly evolve in this field.

What is the difference between Weather Prediction Software Engineer vs Meteorologist?

AspectWeather Prediction Software EngineerMeteorologist
Required CredentialsBachelor's in Computer Science, Meteorology, or related field; programming skillsBachelor's or higher in Meteorology, Atmospheric Science, or related field; often includes certifications
Work EnvironmentResearch labs, tech companies, government agencies; focus on software developmentWeather stations, TV stations, research institutions; focus on data analysis and forecasting
Industry UsageDevelops weather prediction models and software tools used by meteorologistsProvides weather forecasts and analysis to the public and industry

While Weather Prediction Software Engineers focus on creating and maintaining the software tools used for weather forecasting, Meteorologists analyze weather data and produce forecasts directly. Both roles are essential in the weather industry but differ in their primary responsibilities and skill sets.

What is the software for weather prediction?

Weather prediction software used by Weather Prediction Software Engineers includes numerical weather prediction models such as the Global Forecast System (GFS), the European Centre for Medium-Range Weather Forecasts (ECMWF), and regional models like WRF. These tools rely on high-performance computing, data assimilation, and programming skills in languages like Fortran and Python to develop accurate forecasts.

What are popular job titles related to Weather Prediction Software Engineer jobs?

For Weather Prediction Software Engineer jobs, the most frequently searched job titles are:

Infographic showing various Weather Prediction Software Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $114,802 per year, or $55.2 per hour.

Head of Atmospheric Science - Onsite in Albuquerque, NM

Albuquerque, NM • On-site

Roadrunner Venture Studio
See more jobs at Roadrunner Venture Studioexternal

Full-time

Posted 10 days ago

Job description

About Roadrunner Venture Studios
Roadrunner Venture Studios is the nation's leading platform for founding breakthrough ventures in frontier technology. We partner with scientists, engineers, and entrepreneurs to turn deep technology into real companies. Our work spans energy, manufacturing, semiconductors, quantum computing, aerospace, advanced materials, artificial intelligence, and high performance computing.
About the Role
Roadrunner Venture Studios is recruiting a Head of Atmospheric Science for a portfolio company developing rainfall enhancement technology.
You will lead the atmospheric science function and connect scientific validation with operational deployment. The scope includes meteorology, atmospheric prediction, modeling, data assimilation, field-data review, and scientific evaluation of deployments.
Atmospheric modeling is a major part of a broader mandate. You will set scientific direction, work hands-on, and build the team needed to support a growing deployment program.
This role includes significant equity.
This is an early-stage startup building something that has not been built before. Expect weeks of 50 to 60 hours, sometimes more, with frequent travel and regular weekend work. Priorities will change quickly. If this working environment does not excite you, this job is probably not for you.
What You Will Do
Atmospheric Science and Prediction
  • Set the scientific strategy for evaluating atmospheric conditions, selecting deployment windows, interpreting results, and improving operating criteria.
  • Integrate forecasts, historical datasets, soundings, radar, satellite imagery, surface observations, and field-sensor data into clear scientific assessments.
  • Review data before, during, and after deployments. Compare predicted and observed conditions, identify important differences, and communicate conclusions and uncertainty.
  • Work with science, software, and field teams to improve observation methods, data quality, operational prediction, and post-deployment analysis.
Atmospheric Modeling and Data Assimilation
  • Lead the Weather Research and Forecasting (WRF) modeling program for deployment planning, atmospheric prediction, scenario analysis, and post-deployment review.
  • Architect WRF data assimilation using WRF Data Assimilation (WRFDA), the Data Assimilation Research Testbed (DART), or similar frameworks.
  • Integrate standard meteorological observations and data from monitoring and deployment hardware to improve model initial conditions and predictions.
  • Build an operational modeling chain that ingests historical, forecast, and observational data for high-resolution WRF simulations.
  • Evaluate artificial intelligence and machine learning weather models and emulators for prediction, model acceleration, and operational decision support.
  • Develop cloud and high performance computing workflows for model execution, data management, analysis, and visualization.
Scientific and Team Leadership
  • Set technical priorities and communicate scientific findings, limitations, and uncertainty to company leadership and external research partners.
  • Recruit, mentor, and lead atmospheric scientists, meteorologists, data scientists, and scientific software engineers as the company grows.
  • Build productive relationships with universities, national laboratories, research institutions, and other scientific partners.
Preferred Qualifications
  • Bachelor's degree or higher in atmospheric science, meteorology, physics, computer science, data science, or a related field. An advanced degree is preferred.
  • Broad experience in atmospheric science, meteorology, weather prediction, numerical weather prediction, or atmospheric research.
  • Extensive experience configuring, running, and analyzing WRF. Experience contributing to WRF development is valuable.
  • Experience implementing WRFDA, DART, or similar data assimilation systems for research or operational use.
  • Strong knowledge of boundary layer meteorology, cloud microphysics, convective initiation, precipitation processes, and mesoscale atmospheric dynamics.
  • Experience interpreting forecasts and observations from radar, satellite, soundings, surface stations, or other meteorological systems.
  • Prior experience with artificial intelligence and machine learning weather modeling, weather emulators, or related atmospheric applications.
  • Experience running numerical weather prediction models in Linux, cloud computing, or high performance computing environments.
  • Deep experience with meteorological datasets and formats such as NetCDF and GRIB.
  • Strong Python skills and working knowledge of Fortran, C++, or similar scientific computing languages.
  • Experience leading technical teams, setting scientific priorities, and communicating complex results to technical and nontechnical audiences.
  • Ability to manage competing priorities, meet deadlines, and work effectively in a fast-changing startup environment.
  • Hands-on experience deploying, operating, troubleshooting, or interpreting data from meteorological field equipment.
  • Experience with Doppler light detection and ranging (lidar) systems, weather radar, radiometers, radiosondes, disdrometers, ceilometers, or surface weather stations.
  • Experience with field campaigns, environmental monitoring, or deployment operations in the Southwest United States.
  • Experience at a national laboratory, research university, government weather organization, or artificial intelligence weather company.
Location
This role may be based in the San Francisco Bay Area, California, or New Mexico. The balance between in-person and remote work can be tailored to the candidate and team needs. Frequent travel is required.

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