Job Description:

Job ID:
2206700

Location:
GREENBELT
,
MD
,
US

Date Posted: 2022-04-29

Category: Engineering and Sciences

Subcategory: Research Scientist

Schedule: Full-time

Shift: Day Job

Travel: Yes, 10 % of the Time

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: No

Description

SAIC is seeking an Ocean Model Support Scientific Programmer/Analyst to be a member of the model and software Integration/Test/Validation development teams with the Global Modeling and Assimilation Office (GMAO) at NASA Goddard Space Flight Center. The successful candidate will take part in our efforts to support the development of NASA’s Global Earth Observing System (GEOS) model.


 

This position is designed for a mid-career scientific software engineer with experience executing and validating large scientific codes on modern high-performance computing (HPC) platforms. This person will serve as the primary integration/testing/validation (ITV) developer for the ocean biogeochemistry software components within the GEOS Earth system model. The selected person will be responsible for integrating scientific and engineering updates from lead developers of GEOS into valid engineering and release tags, executing and maintaining a suite of standard testing and evaluation runs for the GEOS ocean biogeochemistry model component, and publishing results from a standard GEOS model validation package for all candidate system releases. The selected candidate also will be responsible for ensuring that developments are compatible with coupled atmosphere-ocean configurations of GEOS in collaboration with the other model developers at GMAO.           



The primary expertise for a strong candidate will be a background in software development for large scientific codes and testing and evaluation on large HPC platforms. The successful candidate will also be detailed oriented, have excellent time management skills, and the ability to coordinate between diverse groups of multidisciplinary expertise. Knowledge/understanding of ocean and more specifically ocean biogeochemistry is a plus.


 

Qualifications

TYPICAL EDUCATION AND EXPERIENCE: 

Required Qualifications:

• Master’s degree in Earth Science, computer science or related field; along with a minimum of 6 years of experience developing and maintaining large scientific software systems, including scripts and configuration management to run complex scientific atmospheric models or their individual components and associated evaluation programs.




• Experience should include significant work with parallel computing processes, languages, and hardware.




• Must have strong skills in Unix/Linux shell scripting, and Fortran programming, using GIT, or other similar configuration management software.

 

Desired Qualifications:

• Knowledge of Python/Matlab/IDL




• Scientific visualization experience




• Familiarity with earth science data formats

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.SAIC® is a premier Fortune 500® technology integrator driving our nation's technology transformation. Our robust portfolio of offerings across the defense, space, civilian, and intelligence markets includes secure high-end solutions in engineering, digital, artificial intelligence, and mission solutions. Using our expertise and understanding of existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions that are critical to achieving our customers' missions.


We are more than 26,500 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer, fostering a respectful work culture based on diversity, equity, and inclusion that values all contributors. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.1 billion. For more information, visit saic.com. Apply Now