Scientific Software Programmer

Science Systems and Applications, Inc. (SSAI) is seeking a Scientific Software Programmerto support multiple interrelated Earth Science projects at NASA Goddard Space Flight Center in Greenbelt, MD.
This individual will be tasked with implementing, testing, documenting, and maintaining a variety of computational workflows, including (but not limited) to:

• Migration and transformation of NASA data products into analysis-ready, cloud-optimized formats
• Interactive visualization and analysis of NASA data products
• Generating new data products from NASA observations using a combination of physically based (e.g., radiative transfer models) and data-driven (e.g., regression, classification) methods
• Numerical modeling and model-data fusion of physical, chemical, and ecological processes
• Application Programmer Interfaces (APIs) for remote access and analysis of data products

Required Qualifications:

• BS in Computer Science and 3-5 years of experience in researching and developing software solutions for scientific systems or equivalent combination of education and experience.
• Advanced knowledge of Python, R, Julia, or a similar scripting programming language
• Familiarity with the Unix command line
• Strong organizational and time-management skills
• Flexibility, patience, and perseverance to overcome unexpected technical or organizational issues and sudden changes in expectations
• Desire and ability to learn quickly about both science topics and new and unfamiliar technologies
• Strong communication skills with both internal team members and customers
• US Citizenship or Permanent Residency required

Desired Qualifications:

• Disciplinary knowledge in Earth science, environmental science, physics, chemistry, biology, or a related field.
• Reading, interpreting, and modifying code in Fortran and C/C
• Compiling and installing software from source using the GNU Build System and/or Cmake
• Configuring and managing Amazon Web Services (AWS), especially S3, EC2, and Lambda.
• Working in high-performance compute systems, including queue submission systems (e.g., SLURM) and environment modules
• Geographic Information Systems (GIS) concepts (e.g., projections, raster vs. vector data) and technologies, especially for scripted analysis and visualization (e.g., GDAL/OGR, OGC APIs)
• Creating and working with containerization (e.g., Docker, Singularity) and orchestration (e.g., Kubernetes, Docker Compose) software
• Version control using Git, especially in the context of open-source development and contribution workflows
• Remote sensing concepts and technology, especially as applied to Earth Sciences Statistics concepts and their practical applications
• Data science concepts and technologies, including data cleaning, advantages and disadvantages of different data formats and data models, uncertainty, metadata, and quality assurance / quality control (QA/QC).
• Statistics concepts and their practical applications, including both Frequentist and Bayesian approaches to multivariate and spatio-temporal data.

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EOE, including disability/vets*

Job Type: Full-time