Scientific Applications Programmer Workflow Development

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts. We are currently seeking a Scientific Applications Programmer for Workflow Development, to join our growing team in support of The Environmental Modeling Center (EMC).

EMC is part of the National Weather Service (NWS) and is responsible for developing complex Earth system models together with its research partners. These numerical weather prediction (NWP) models are deployed on the NWS operational supercomputers to provide weather and seasonal forecast guidance at different timescales from hours to days to months. The NWP models range from global atmospheric models, limited-area (regional) high-resolution convective-scale atmospheric models, hurricane models, global ocean circulation models, cryospheric models, wave models, and land surface models.

EMC is involved in all phases of scientific and engineering model development including data ingest, data assimilation, model integration, post processing, product generation, and validation and verification.

EMC's numerical weather prediction (NWP) applications use complex end-to-end workflows to drive them from data assimilation to product generation, with an aim to provide forecast guidance. This position is responsible for developing, maintaining, modernizing, and expanding the workflows that drive several mission-critical weather prediction systems  developer will work with a team of other software developers and physical scientists to develop cross-application tools that can be used to drive modeling systems from end to end.

The programmer will support any and all aspects of the development of these fully coupled Earth system modeling systems, including implementing scientific improvements, testing, documentation, and assisting with operational code deliveries.

Duties of the Scientific Applications Programmer for Workflow Development will include the following:

• Contribute to the development of critical workflow infrastructure for major modeling systems, such as the Real Time Ocean Forecast System (RTOFS), the Global Forecast System and its ensemble counterpart, high-resolution applications like the Rapid Refresh Forecast System, and AI applications like the AI Global Forecast System.
• Comprehend and adhere to operational computing standards in support of operational code deliveries.
• Port workflows to new high-performance computing and/or cloud platforms.
• Develop user interfaces that allow scientists to easily set up experiments that run parts of and/or the full workflow, including to enable experiments using only specified coupled components (atmosphere only, atmosphere - wave, etc.).
• Conduct profiling of performance-critical model code and identify and implement performance improvements.
• Maintain documentation standards that support community model development.
• Incorporate modern software management practices like unit testing, continuous integration, documentation, and other agile development techniques, including as they pertain to the maintenance and modernization of legacy code.
• Maintain and modernize the CMake-based build systems that EMC uses for their Earth system models.
• Adhere to modern code management principles (Git repositories, including forking and branching; Git Hub/Git Lab features including continuous integration services).

The Ideal Scientific Applications Programmer for Workflow Development:

• Bachelors degree or higher, and 5+ years of experience in meteorology/NWP, physical sciences, mathematics, or closely related field with demonstrated numerical modeling and related scientific computing experience.
• Experience with data assimilation (JEDI, SOCA) is strongly preferred. Experience with ocean and sea ice models, coupled frameworks, and scientific data formats (HDF5, NetCDF, GRIB/2) are beneficial.

• Proficiency in shell scripting, automation (including templated approaches), version control systems…