NWP Modeler Scientist at Spire Global
Boulder, CO, US

Spire Global is a space-to-cloud analytics company that owns and operates the world's largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.

We are seeking a Numerical Weather Prediction (NWP) modeler to facilitate the implementation and validation of its weather forecast systems including maximizing the value and use of Spire's Radio Occultation (GNSS-RO) data. The person in this position will be a key contributor toward the implementation and improvement of Spire modeling systems and data testing. Spire Global is seeking to lead integration and testing of next-generation physical parameterization packages, develop improvements in model dynamics, and work with the data associated with modern NWP.

This is an exciting opportunity for a motivated scientist to work with a team of NWP modelers, data assimilation experts, software engineers, and computer scientists within Spire as well as scientists from around the world to assimilate unprecedented large amounts of GNSS-RO satellite data, all with the end-goal of making weather forecasts better for the global community. The successful candidate will join the NWP modeling team at Spire's office in Boulder, Colorado, USA.

Main responsibilities: 

The successful candidate will work with Spire NWP modeling and research team to implement and maintain state-of-art capabilities in Spire’s weather forecasting system

Make modifications and improvements to community models  

Collaborate in the development, testing, and implementation of advanced physics improvements within global weather prediction models.

Develop and implement interface software that connects data assimilation output to model input as well as interface software that connects model output to applications

Basic Qualifications: 

Masters or Ph.D. degree in Meteorology, Atmospheric Science, or equivalent working experience in NWP model physics and dynamics.

7-10 years of experience using Fortran-90

Knowledge of high-level programming languages such as Python

Desired Qualifications:

Experience developing, evaluating, and implementing code changes to physical packages

Knowledge of community models such as WRF, MPAS, FV3 and GFS is a plus

Experience developing and maintaining interface software linked to model inputs and outputs 

Comfortable and experienced compiling model output and data, performing analyses, and presenting findings to management

Requires ability and willingness to collaborate amongst cross-functional engineering, scientific, and product development teams

Experience in the use of NCAR Command Language (NCL) scripting and graphical display packages (such as GrADS) is desirable

Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.