KBR is seeking a Software Engineer Intern to join their team in Sioux Falls, working on the Landsat Calibration and Validation team at the Earth Resources Observation and Science Center. The role focuses on applying artificial intelligence and deep learning models to satellite data analysis, specifically using CVAE (Convolutional Variational Auto-Encoder) methodologies in AWS for anomaly detection in Landsat mission data. This is an excellent opportunity for students interested in combining software engineering with space technology and machine learning. The position offers hands-on experience with cutting-edge technologies while contributing to important Earth observation projects. KBR provides comprehensive benefits and professional development opportunities in a collaborative environment. The role requires strong technical skills, particularly in Python and machine learning, and offers exposure to real-world applications of AI in space technology. This internship is ideal for candidates pursuing degrees in engineering, mathematics, or related fields who are passionate about using technology to improve Earth observation capabilities.