About the Job
Title: Software Engineer Intern
Belong. Connect. Grow. at KBR!
At KBR, we are innovators, thinkers, creators, and explorers, united by one mission: improving the world responsibly and safely through science that informs decision-makers and protects the planet.
We are currently seeking a Software Engineer Intern to join our team in Sioux Falls, South Dakota. Headquartered in Houston, Texas, KBR proudly serves as the primary contractor for the U.S. Geological Survey (USGS) at the Earth Resources Observation and Science (EROS) Center (learn more).
In this role, you will support the Landsat Calibration and Validation (Cal/Val) team by applying artificial intelligence and deep learning models to time series calibration data for automated anomaly detection. We plan to leverage Convolutional Variational Auto-Encoder (CVAE) models and similar techniques within AWS environments to advance unsupervised deep learning approaches. Our overarching project, “Scaling Operations for Multi-Mission Architecture,” aims to ensure Landsat satellite data meets the highest quality standards, supporting scientific applications and enhancing Earth observation capabilities.
Please note: You must have three years of continuous U.S. residency to qualify for a government security credential.
Core Responsibilities:
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Deploy baseline processing infrastructure in AWS
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Install machine learning frameworks (e.g., Scikit-Learn, Keras, PyTorch) for both CPU and GPU use
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Set up dashboarding tools (Dash, Tableau) and automated reporting tools (e.g., Quarto)
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Prepare and model data:
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Collect and format spacecraft attitude, ephemeris, and calibration trending data
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Train and evaluate a CVAE model with PyTorch and Scikit-Image
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Adapt models to integrate Landsat-specific data
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Refine models through parameter tuning and dataset augmentation
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Explore alternative models if necessary
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Develop and compare dashboard applications using Python tools and Tableau
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Support internal research reviews and other team projects
Experience & Education:
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Pursuing a Bachelor’s degree in Engineering, Data Science, Signal Processing, Remote Sensing, Mathematics, or related fields
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Preference for candidates with background knowledge in satellite systems, remote sensing, or scientific data processing
Required Skills:
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Experience with machine learning or deep learning AI models
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Proficiency in Python, IDL, or MATLAB programming
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Strong communication skills (written and verbal)
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Ability to work independently and think critically
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Comfortable handling complex, multitasking environments
Preferred Skills:
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Familiarity with spacecraft instrumentation and dynamics
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Background in image and signal processing and statistical analysis
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Understanding of map projections
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Experience developing image/signal processing tools
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Knowledge of satellite systems, remote sensing, and cloud data processing
Additional Requirements:
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Must meet the three-year continuous U.S. residency requirement for security credentialing
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Must be able to obtain and maintain a national agency check and background investigation for government facility access
KBR Benefits: We offer a competitive suite of benefits, including:
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401(k) with company match
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Medical, dental, vision, life, and AD&D insurance
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Flexible spending accounts
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Disability coverage
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Paid time off and flexible work schedules
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Professional training and career development opportunities
Learn more about our benefits here.
Why KBR?
At KBR, we are committed to fostering a People First culture, rooted in safety, inclusion, and professional growth. We strive to create an environment where everyone can Belong, Connect, and Grow. We work together to deliver outstanding results — for each other, for our customers, and for the world.
KBR is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status, or any other status protected by law.