Employment at CPI

Atmospheric Science and High-performance Computing

The Space Science Division of the U.S. Naval Research Laboratory in Washington, DC (NRL-DC) is tasked with rapidly developing and validating a new state-of-the-art global numerical model of the neutral atmosphere, extending from the ground to 500 km altitude, for application in high-resolution forecasting for space weather applications. We seek a self-motivated candidate eager to study upper-atmospheric dynamics and physics relevant to short-term prediction, to develop, implement and test efficient algorithms for these processes, and then to integrate them into the evolving infrastructure of the new model. The successful candidate will join a mixed government and contractor staff at NRL-DC that is developing the new mesospheric and thermospheric components of the model. The candidate will conduct high-resolution model experiments on massively parallel high-performance computers to test and refine new model features. The candidate may also collaborate with other research teams, located at NRL-DC and elsewhere, focusing on lower altitudes, high-altitude data assimilation, and physical coupling to ionospheric models. The work will involve complex, modern, highly scalable Fortran codes, using up to 1 million processors per run. Candidates with interests in learning and applying modern coding practices on new and emerging supercomputing architectures are encouraged to apply. The job location is at NRL-DC and the position is currently open. Salary will be commensurate with experience.

Please send your resume in confidence to employment@cpi.com. Please also send a cover email stating that you are a U.S. citizen, if that fact is not on your resume. If you wish to provide additional information in a cover email that you believe would be informative for us, please feel free to do so.

CPI is an Equal Opportunity Employer.


  • A Ph.D., or equivalent experience, in atmospheric science, computational fluid dynamics, physics, or a related discipline is required.
  • Strong programming skills are required.
  • U.S. citizenship is required.
  • Experience with high-performance Fortran is desirable.
  • Knowledge or experience in the area of artificial intelligence and machine learning is desirable.