AceInfo Solutions, Inc.

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Scientific Programmer / Meteorologist

Scientific Programmer / Meteorologist

Job Location 
US-MD-Silver Spring
Regular Full-Time
Position Duration 
Public Trust Or ability to obtain a Public Trust

More information about this job


Ace Info Solutions, Inc. (AceInfo) is a leading Federal contractor with a focused vision: empower our clients, challenge our employees, and grow our business. Founded in December 2000, we are deeply committed to ensuring quality and customer satisfaction. We have a mature corporate infrastructure, strong management, and quality practices. AceInfo is a trusted IT partner to the Federal Government, and we help various agencies transform and strengthen their processes, operations, infrastructures, and security practices to help them further their critical missions.


For over 15 years, we have successfully managed large and significant Federal programs. We have proven experience prioritizing client satisfaction, project quality, and providing innovative, cost-effective solutions to Federal clients.


AceInfo is prime on 95% of our contracts, is headquartered in Reston VA, and has geographically dispersed office locations throughout the country, to include: Kearneysville, WV; Chesapeake, VA; Fort Collins, CO; Boulder, CO; Quantico, VA; Kansas City, MO; Bowie, MD; multiple Washington, DC Metropolitan locations, and project presence in 23 states in all time zones. We offer excellent benefits and salary packages including free medical/dental/life insurance premiums for staff members. We offer relocation assistance for internal employees and external candidates, within 50 miles (minimum) of work location. We do not offer assistance for relocation and housing for internship positions.



AceInfo is currently seeking a Scientific Programmer to support our federal project, in Silver Spring, MD


 Position Overview:


Weather forecast guidance from the National Blend of Global Models (NBM) project currently provides a set of next-generation foundational guidance products based on National Weather Service (NWS) and non-NWS model information and continues to grow.  The techniques developed are intended to create an enduring process for the generation of guidance products valid for days 1-10.  The National Blend of Models project will ensure no degradation of NWS services, as demonstrated by agreed-upon verification procedures.  Training on new products will be funded within the NBM project and centrally generated products will be deployed to Weather Forecast Offices (WFOs) and National Centers for Environmental Prediction (NCEP) Service Centers through AWIPS II. 


This project will expand a set of next-generation foundational gridded guidance products based on NWS and non-NWS deterministic and ensemble model information for use in the forecast process by the local forecast offices and NCEP national centers suitable to support the population of the National Digital Forecast Database (NDFD) grids.  3 deterministic versions of the NBM have already been deployed.  Work continues to improve existing elements and develop new elements to cover gaps in service program areas such as Aviation, Marine, Fire Weather, Winter, Severe, and Water Resources.  Initial focus has been on deterministic forecasts, but future builds of NBM will become increasingly probabilistic in nature.                                                                                                                           

 Position Description:


We are seeking a Meteorologist to perform a variety of scientific programming and data processing assignments supporting the National Blend of Global Models (NBM) project intended to improve weather forecast guidance products. Candidate must have solid meteorology background; good math skills, especially statistics.  Familiarity with Geographic Information Systems (GIS), and good software programming skills are preferred. This position supports the Meteorological Development Laboratory (MDL) of the Office of Science and Technology Infusion (OSTI) of the National Weather Service (NWS).  MDL is located in Silver Spring, Maryland and candidate is expected to work within the core work hours of 6 AM to 6 PM Monday thru Friday.                                                                     


  • Work with MDL scientists to investigate and develop statistical post-processing and blending techniques for the National Model Blend of Global Models project
  • Develop software and leverage existing algorithms developed by the NWS Regions to centrally derive variables needed to support the NDFD, and ensure meteorologically consistent guidance from calibrated and blended model output
  • Write and/or modify programs (primarily Fortran) and scripts necessary for data processing   
  • Assist MDL scientists with writing documentation, displaying and mapping forecast guidance, and preparing presentations
  • Assist MDL scientists with implementation of blended products on the NOAA operational supercomputer


  • Bachelor’s in meteorology, physical science or computer programming
  • 0-3 years’ experience in related area
  • Knowledge of the principles of meteorology and weather forecasting
  • Knowledge of programming and scripting
  • Knowledge of mathematical and statistical techniques, including linear regression
  • Familiarity with statistical guidance for weather forecasting
  • Experience with documenting code
  • Familiarity with UNIX/Linux environment



  • Familiarity with Numerical Weather Prediction model output
  • Familiarity with Geospatial software (preferably ESRI desktop applications)
  • Familiarty wiht Fortran
  • Familiarity wiht Python

 Applicant must be a U.S. Citizen or Green Card Holder


Ace Info Solutions is an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, genetics, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.