Software Engineer (Science) - Military veterans preferred

Title:

Software Engineer (Science)

KBR ( www.kbr.com ) is seeking to fill a full-time Software Engineer (Science) position under the Technical Services Support Contract (TSSC) with the U.S. Geological Survey (USGS) at the Earth Resources Observation and Science (EROS) Center ( http://eros.usgs.gov/ ), located near Sioux Falls, SD.

The successful candidate will become an integral part of the Integrated Science and Applications (ISA) Division of the Technical Services Support Contract (TSSC) at the USGS EROS Center. The ISA Division Team is comprised of highly talented remote sensing scientists, land cover scientists, software engineers, web developers, and systems engineers who work together to support the dynamic science and technical requirements of our USGS Customer. This includes a wide-ranging portfolio of projects with focuses in land cover and land change monitoring, remote sensing time-series algorithm development, land cover forecasting, land change assessments, fire science, drought monitoring, ecosystem & vegetation dynamics, and others. The current staffing requirement would support USGS EROS land cover programs such as National Land Cover Database (http://www.mrlc.gov/) and Land Change Monitoring, Assessment, and Projection (https://www.usgs.gov/special-topics/lcmap) to employ Machine Learning and related approaches implemented on High Performance Computing (https://www.usgs.gov/advanced-research-computing/usgs-denali-supercomputer) (HPC) and Cloud Computing systems to advance land cover and land change monitoring capabilities. This position would work collaboratively with software engineers and scientists to evaluate & refine existing data processing workflows and develop innovative approaches to create geospatial science products based on Landsat satellite data. If you have a related skillset/background and are interested in an exciting and challenging career in the field of land cover/remote sensing science, we invite you to apply for this position.

Employees must adhere to all health and safety requirements, including any COVID-19 vaccination and mask-wearing guidelines and requirements as established for KBR and/or client sites. Failure to do so may result in disciplinary action up to and including termination. KBR is requiring all U.S. employees be fully vaccinated by December 8, 2021, subject to any collective bargaining or other legal obligations (including approved religious or medical accommodations and exceptions). To ensure compliance, all employees described above will need to provide proof of COVID-19 vaccination. In accordance with U.S. law and if applicable, KBR will provide disability-based reasonable accommodations, medical exceptions, and religion-based reasonable accommodations. Candidates seeking an accommodation or medical exception should contact the human resources representative who has extended this employment offer .

Core Responsibilities :

• Evaluate existing software models, code, scripts to understand function and purpose
• Translate existing software models, code, scripts (developed by team scientists) into streamlined code to improve processing efficiency and effectiveness
• Contribute to developing new methods via Artificial Intelligence using Neural Network and Machine Learning approaches to create land cover and land change monitoring products
• Design and execute code on HPC and Cloud Computing (Amazon Web Services, Google Earth Engine) environments
• Analyze code and modeling results to propose improvements and efficiencies
• Perform code development on assigned tasks
• Document testing and implementation efforts through generation of test plans, procedures, and reports

Education:

• Bachelor’s degree in Computer Science, Software Engineering, or related field

Experience:

• 2-3 year of related experience in a Software Engineering environment is desired. Experience with remote sensing data (e.g. Landsat), image processing, geospatial data, Machine Learning, High Performance Computing, Cloud Computing, statistics a plus

Required Skills:

• Python and C/C++ Experience developing code in various environments, such as Windows, Linux, and Cloud
• Understanding of software configuration management, code repositories (e.g. Git), and version control
• Knowledge of software testing and debugging best practices
• Strong professional communication skills and ability to collaborate effectively with project team members, partners, and government customers

Desired Skills:

• Perl, R
• Machine Learning: linear regression, non-linear regression, regression structural breaks, Generalized Additive Modeling, KMeans cluster analysis, PCA, MFA, Cubist, See5, Deep Neural Network, XGBoost
• High Performance Computing: optimization, multi-threading, distributed computation
• Cloud Computing: Amazon Web Services, Google Earth Engine
• Big data manipulation and analysis: use C++, R, Python, Jupyter Notebooks to efficiently manipulate large amounts of data
• GIS software such as: QGIS, ArcGIS, ERDAS, ENVI
• Statistics Background: medians, means, p-values, residuals, CI, correlation, R2
• Familiarity with geospatial datasets and satellite imagery such as Landsat

The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain credentials for facility access and user accounts. The candidate must be a U.S. citizen or have authorization to work in the U.S. and resided in the U.S. for the previous 3 years.

This position will be posted to the career opportunities listing on the KBR website (www.kbr.com/careers). This position may be filled by an KBR teammate on the TSSC Contract. Please apply online. KBR is an equal opportunity employer. EOE/m/f/disabled/veteran.

In compliance with the U.S. federal government’s vaccine mandate, only candidates who will be fully vaccinated for COVID-19 by December 8, 2021 or who have a reasonable accommodation or approved medical exception will be considered for this position.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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