SAIC is looking for a SW Engineer for our NASA EAST contract in Huntsville, AL.
Would you like helping NASA connect with their huge volume of structured and unstructured data? Are you interested in joining a smart, innovative team in an exploratory and fun environment? Do you enjoy coding, but also like working with engineers to solve their business problems? Do you thrive on the challenge and variety that comes with of rapid and agile projects across multiple customers? Do you have a strong willingness to learn?
NASA Knowledge Management Profile
NASA’s Knowledge Management suit powers the Information-Driven environment. NASA realizes that being data-driven isn’t enough, but to continue to explore new frontiers they must capitalize on the value buried away in the huge volume of their unstructured information (text) in addition to structured data. NASA’s Knowledge Management suit enables information-driven operations by providing a Cognitive Search and Analytics platform that brings together all enterprise information assets and intelligently serves up the most pertinent information and insights regardless of content, source system, or format. We do this through a state-of-the-art engine that applies natural language processing, machine learning, and data modeling to make sense of the vast and rapidly growing content in NASA and external to NASA.
NASA Knowledge Management Profile:
The Solution Engineer will become a technical expert in NASA’s Knowledge Management software focused on implementing the platform and executing rapid and agile projects that delivers advanced knowledge management capability tuned for each of NASA’s community of practice. They will be comfortable with code, complex data sources, and technical nuances of software and hardware. Solution Engineers will help customize agile projects to meet specific requirements, such as custom data visuals or connection to novel data sources and formats.The Engineer will receive training on NASA’s Sinequa, Alteryx, and Tableau software platform, advanced technology (Natural Language Processing, Machine Learning, Data Modeling) and tools (Spark, TensorFlow).
Education and Experience: