KBR is a company delivering science, technology, and engineering solutions to address global challenges. They are seeking a Software Engineer Intern to support the Landsat Calibration and Validation team by applying artificial intelligence and deep learning models to satellite data for automated anomaly detection and data quality assurance.
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
Participate in Internal Research and Development (IR&D) Reviews
Perform other duties as assigned by the Landsat Cal/Val Team Lead
Qualification
Required
Three years of continuous residency in the U.S. for issuance of a Government Security credential
Working toward a degree in software/data science, remote sensing calibration and/or mathematics
Working toward a Bachelors in Engineering, Signal Processing, System Calibration, Photogrammetry, Geodesy, Mathematics, or Satellite Systems
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
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.
Preferred
Experience in satellite ground systems, remote sensing data capture, processing, archive, distribution, and scientific applications.
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
Benefits
401K plan with company match
Medical
Dental
Vision
Life insurance
AD&D
Flexible spending account
Disability
Paid time off
Flexible work schedule
At KBR, we deliver science, technology and engineering solutions that are helping governments and companies around the world take on the great challenges of our time.
