What you will do:

As a Senior C/C++ Software Scientist, your talent and leadership abilities will be front and center.  You'll work with a team of extraordinary scientists, engineers, and analysts to develop ideas that meet customer needs and push the limits of truly advanced technologies.  You will develop algorithms and software, and access unique approaches to image data processing and exploitation for use in the latest ground processing architectures.  You will also work with existing C/C++ algorithms and advanced software automation, Machine Learning, target recognition, change detection, multi-source data fusion, and tracking.

Design, develop, document and test advanced, automated feature extraction in C/C++ and Python, algorithms.Perform extraction from large geospatial/spectral datasets.Development of processing architectures and software for use with customer systems and sensors.Explore new algorithms / machine learning and artificial intelligence approaches for:automated object detection / classificationfeature extraction/target state estimation,multi-source data fusion.Document developed algorithms and transition them to the software team for incorporation into the production code base. Understand problem and technical approach based on underlying mathematical/heuristic models.Demonstrate real data in real processing environments and meet critical mission requirements.
 

What you bring to the table:

U.S. citizenship is required.Current TS/SCI security POLY must meet eligibility requirements for access to classified information.Fluency in C/C++ and Python required experience.10 years of relevant experienceMaster’s or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required

Highly Desired:

Master’s and 12 years or PhD with Post-degree work experience and post-doctoral work experience and will count towards experience.AWS/Cloud development/computing and OpenCVWorking knowledge in statistical principles and probability theory, image segmentation, automated quantitative evaluation of image data, and feature extraction.