Senior Scientific Programmer: Remote Sensing & SST (Hybrid)

Global-Science-; College Park (MD); Hybrid; USD 130,000 - 170,000; Full time

Job summary

Global Science & Technology, Inc (GST) seeks a Scientific Programmer for Remote Sensing Applications to support NOAA/NESDIS/STAR. The role is based in College Park, MD, with potential telework and hybrid arrangements.

You will join SST scientists to develop and maintain code for producing SST datasets from multiple sensors and to advance cloud masking and SST retrieval methods. The ideal candidate holds a PhD or MS with relevant experience, with strong skills in C++, Fortran, Python, and

Qualifications

• PhD in a quantitative field completed by date of hire or an MS with related experience.
• Knowledge of remote sensing, satellite and oceanographic data, systems and analyses.
• Proficiency with C++, Fortran and Python programming languages.

Responsibilities

• Develop and maintain science code for production of SST datasets from multiple sensors (VIIRS, AHI, ABI, AVHRR, MODIS, METimage, FCI).
• Develop and implement improved cloud masking, SST retrieval and error characterization algorithms.
• Collaborate with SST scientists and software developers in a research environment; perform independent research and contribute derived products.

Skills

C++

Fortran

Python

OpenMP

MPI

CUDA

PyTorch

TensorFlow

netCDF4

HDF5

HDF4

Zarr

Linux

Education

PhD in quantitative field

MS with relevant experience

Tools

Git

Job description

Global Science & Technology, Inc (GST) seeks a Scientific Programmer for Remote Sensing Applications to support NOAA/NESDIS/STAR. The role is based in College Park, MD, with potential telework and hybrid arrangements.

You will join SST scientists to develop and maintain code for producing SST datasets from multiple sensors and to advance cloud masking and SST retrieval methods. The ideal candidate holds a PhD or MS with relevant experience, with strong skills in C++, Fortran, Python, and