The BAE Systems GXP Software Team, based in Durham NC near Research Triangle Park, is seeking highly motivated engineering students to join our team as an intern. We are looking for candidates that will enjoy developing unique, cutting-edge solutions that help people make sense of exquisite imagery, video, and other sophisticated remote sensor data. We value those who are curious to explore the "what", "when", "how", and "why" of world events using advanced technologies. We encourage attitudes towards problem solving driven by persistence, innovation, teamwork and a willingness to meet challenges head on.
Our team develops state-of-the art software for sensor-data processing, analysis, storage, and visualization for challenging problems in the areas of video analytics, image processing, and other temporal data sources. We utilize the most advanced techniques for data science, machine learning, computer vision, statistical analysis, and cloud computing to discover hidden patterns in big data. We develop end-to-end applications that process data for desktop, web, embedded platforms, and large scale cloud computing environments. We believe collaboration is key, as such, you will be paired with a mentor to facilitate a smooth onboarding process as you become familiar with our products and the technologies we employ.
Our commercial software products include:
You can read more about our software and solutions here:
InMotion Desktop and Server - https://www.geospatialexploitationproducts.com/content/gxpinmotion/
MOVINT Solutions - https://www.geospatialexploitationproducts.com/content/movint/
As an intern, you will be working directly embedded with one of our small software teams. Depending on your background and interests your responsibilities may include one of the following:
Our team develops state-of-the art software for sensor-data processing, analysis, storage, and visualization for challenging problems in the areas of video analytics, image processing, and other temporal data sources. We utilize the most advanced techniques for data science, machine learning, computer vision, statistical analysis, and cloud computing to discover hidden patterns in big data. We develop end-to-end applications that process data for desktop, web, embedded platforms, and large scale cloud computing environments. We believe collaboration is key, as such, you will be paired with a mentor to facilitate a smooth onboarding process as you become familiar with our products and the technologies we employ.
Our commercial software products include:
- GXP InMotion Server - ingests and streams real-time data feeds, providing recording and analytics capabilities
- GXP InMotion Desktop - video and image analysis application
- Track Analytics Software Suite (TASS) - a suite of algorithms for analyzing geospatial data
- MOVINT Database - a geospatial big-data store with RESTful web service interfaces
- GXP InMotion Web / MOVINT- a browser-based front end for visualizing and analyzing geospatial data
You can read more about our software and solutions here:
InMotion Desktop and Server - https://www.geospatialexploitationproducts.com/content/gxpinmotion/
MOVINT Solutions - https://www.geospatialexploitationproducts.com/content/movint/
As an intern, you will be working directly embedded with one of our small software teams. Depending on your background and interests your responsibilities may include one of the following:
- Implementing new features in our web-based, cloud, and server-based products.
- Investigating new technologies and open-source software for inclusion into our products.
- Designing new enhancements to our software.
- Working with a mentor to learn about software principles / technical development.
- Development in Python, C++, Java, and/or JavaScript.
Please note that pursuant to a government contract, this specific position requires US citizenship status.
Because this role involves a combination of collaborative/in-person and independent work, it will take the form of a hybrid work format, with time split between working onsite and remotely.
Because this role involves a combination of collaborative/in-person and independent work, it will take the form of a hybrid work format, with time split between working onsite and remotely.