Graduate Robotics Research Intern

Overview:

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.

Job Description Summary:

Job Description:

Additional Job Description:

Responsibilities

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.

Qualifications

Required Qualifications:

• M.S. or Ph.D. (in progress) in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or similar field of study
• Research or technical contributions in one or more of the following fields: vision-aided navigation, computer vision, perception, mapping, sensor fusion, and machine learning
• Programming experience in C/C++ or Python

Preferred Qualifications:

• Broad robotics experience, especially integration and test with robotics platforms
• Experience with stochastic estimation algorithms (e.g., Extended Kalman Filters)
• Experience with collaborative multi-vehicle teaming algorithms
• Exposure to adjacent subfields of robotics, such as: trajectory or motion planning; planning under uncertainty; optimal control; guidance, navigation & control (GN&C); and deep learning
• Experience working as a member of a multi-developer team using collaboration tools such as Git
• Experience working in a Linux development environment and with Robot Operating System (ROS)

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Job Location - City:

Cambridge

Job Location - State:

Massachusetts

Job Location - Postal Code:

02139-3563

The US base salary range for this full-time position is

$20.00 - $45.00

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates