Title:
Software Engineer Intern
Belong. Connect. Grow. with KBR.
Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely by supporting the science that informs decision makers and protects Earth.
KBR is seeking an Intern to join its talented team in Sioux Falls, South Dakota. KBR, headquartered in Houston, Texas, is the primary contractor to the U.S. Geological Survey (USGS) for performing work at the Earth Resources Observation and Science (EROS) Center near Sioux Falls, SD .
The Intern will be supporting the Landsat Calibration and Validation (Cal/Val) team and applying artificial intelligence and/or deep learning models to time series trended calibration data and providing automated anomaly detection. KBR plans to leverage CVAE (Convolutional Variational Auto-Encoder) and similar modelling methodologies in AWS to take an unsupervised deep learning approach to anomaly detection in current and future Landsat mission data. The overall goal for our project, "Scaling Operations for Multi Mission Architecture", is to investigate Calibration and Validation (Cal/Val) data from the Landsat series of satellites to ensure data quality meets the gold standard in Earth observations. This includes maintaining a well-calibrated remote sensing archive of current, past, and future Landsat missions for science applications and Earth observation enhancement, as well as for Cal/Val operational trending dashboard capabilities. The intern will also support additional machine learning support for geometric calibration activities, specifically applying machine learning methods to ground control points (GCPs) resolution consistency across multiple satellite resolutions.
MUST have three years of continuous residency in the U.S. for issuance of a Government Security credential
Core Responsibilities
Deploy baseline processing infrastructure in AWS
Install open-source machine-learning tools: Scikit-Learn, Keras, PyTorch, etc., both CPU and GPU-enabled versions
Install and explore dashboarding software (Dash, Tableau, others)
Install and configure automated reporting software (Quarto and related software)
Support the team with Data Preparation and Modeling:
Collect and prepare current and historical spacecraft attitude & ephemeris and other supporting data for CVAE modeling activities.
Collect and prepare a subset of the Landsat Cal/Val trending database for dashboard and automated reporting activities.
Prepare and evaluate a CVAE model: Train and test a published CVAE model utilizing PyTorch and Scikit-Image and published data (non-Landsat) to establish a processing baseline
Adapt the model to accept Landsat attitude & ephemeris data
Refine and evaluate models by adjusting model parameters and augmenting the training dataset. (Many iterations expected here)
Investigate alternative models or modifications as needed
Dashboard development and comparison
Develop a test-case dashboard application in the python-based tools using a subset of the IAS trending database
Develop a similar application in Tableau
Evaluate functionality, compare/contrast the tools
Other Responsibilities
Participate in Internal Research and Development (IR&D) Reviews
Perform other duties as assigned by the Landsat Cal/Val Team Lead
Experience
Working toward a degree in software/data science, remote sensing calibration and/or mathematics
Preference will be given to anyone with experience in satellite ground systems, remote sensing data capture, processing, archive, distribution, and scientific applications.
Education
Working toward a Bachelors in Engineering, Signal Processing, System Calibration, Photogrammetry, Geodesy, Mathematics, or Satellite Systems
Required Skills
Experience in Machine learning and/or deep learning AI models
Programming skills in Python, IDL, or Matlab
Ability to communicate effectively orally and in writing
Ability to think independently
Ability to handle complex multitask environments
Desired Skills
Knowledge of spacecraft and spacecraft instrument dynamics and characteristics
Knowledge of image/signal processing and statistical analysis fundamentals
Knowledge of map projections
Ability to develop image and signal processing techniques and tools
Knowledge of satellite systems and remote sensing
Knowledge of cloud data processing
Candidates must have strong technical knowledge, excellent communication skills, and a teamwork emphasis. Candidates must also be able to integrate into a highly skilled team.The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain a badge for facility access and user accounts.
SPECIAL REQUIREMENTS
- Three years of continuous residency in the U.S. for issuance of a Government Security credential
- The candidate must be able to obtain and maintain a national agency check and background investigation after hire to obtain a badge for government facility access and user accounts.
KBR partners with several other companies to fulfill its requirements as a government contractor. The selected subcontracting companies align their benefits as closely as possible to those of KBR.
KBR Benefits
KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.
Click here to learn more: KBR Benefits
Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.
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.