Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com. Draper's Perception and Embedded Machine Learning Group seeks a motivated graduate intern to help us develop, integrate, and deploy advanced perception systems enabling autonomous vehicles and robots to operate in complex environments such as underwater, ground, air, and space. Students will work side-by-side with Draper engineers to develop and implement state of the art solutions for multi-robot autonomy, GPS-denied navigation, 3D mapping, obstacle avoidance, and/or robotic perception. Examples of previous systems developed by our group include vision-based Terrain Relative Navigation (TRN) for guided parafoils or spacecraft landing, vision-aided inertial navigation for UAVs, localization systems for teams of soldiers, and real-time 3D mapping. Duties may include algorithm development, test support, data analysis, and software development for autonomous air, space, ground, or underwater systems. The candidate should be capable of contributing to and integrating state-of-the-art algorithms, analyzing data from simulation and field tests, and effectively working within multi-disciplinary teams.
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Job Type
Full-time
Career Level
Intern