Job ID: 2119587
Location: PRINCETON, NJ, United States
Date Posted: Feb 24, 2022
Category: Software
Subcategory: SW Engineer
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: Public Trust
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work:
Benefits: Click here
Description
SAIC is recruiting for a Scientific Programmer for our NOAA / GFDL program. This individual will be supporting climate code and algorithm transitions to new computing architectures and paradigms, in a structured team environment. The programmer will also participate in various algorithm improvements and code optimization initiatives, as well as serving as a Model Support liaison between Scientists and the Modeling Services team for the purposes of scientific code development. Attending code reviews, planning development meetings, running Computer Climate Models for the purposes of regression testing and Documentation of production software are other roles included in this positionQualifications
- B.S. in Math, Computer Science, Engineering or Physical Science e.g. (Meteorology, Physics)
Overview
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.