MIT Lincoln Laboratory Autonomous Systems Engineer in Lexington, Massachusetts
The Advanced Capabilities and Systems Group is an agile, innovative, multi-disciplinary team developing novel system and technology concepts that address the nation’s critical security challenges. The group leverages focused analysis to understand solutions to defense and intelligence problems, and then develops the solutions in a fast cycle of experimentation and prototyping. The group supports Army, Air Force, Special Operations Forces, and the Intelligence Community in a wide variety of prototyping efforts principally focused on radio frequency systems and autonomous vehicles. The Group consists of talented technical staff with expertise in electromagnetics, signal processing, radio frequency systems, antenna design, statistics, optimization, computer vision, machine learning, autonomous control, software engineering, and embedded systems.
We are actively seeking highly motivated and exceptionally bright individuals who can think broadly, analyze complex problems deeply, implement solutions in a rapid prototyping environment, and wish to contribute to the development of cutting edge technology to enhance National Security.
The Advanced Capabilities and Systems Group is seeking an autonomous systems engineer to be part of a team developing novel algorithms for the guidance, navigation, and control of next generation micro air vehicles. Algorithm development may include coordination and optimization among multiple vehicles, vision based navigation algorithms including applying machine learning approaches, and the control of flight vehicles with challenging dynamics. Work involves algorithm development and simulation, embedded code implementation, and the prototyping and testing of integrated systems.
MS in Aerospace Engineering, Electrical Engineering, Mechanical Engineering, Computer Science or other technical field coupled with the ability to apply talents to new fields at both the technically detailed and big picture levels is required.
In lieu of a MS, a BS with 5+ years of directly related experience will be considered.
Candidates must possess demonstrated team leadership qualities and effective communication.
Experience in controls including modern feedback control and state estimation
Experience in computer vision algorithms including convolutional neural networks and regenerative learning techniques
Familiarity with real time operating systems and embedded software
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For Benefits Information, click http://hrweb.mit.edu/benefits
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information;
U.S. citizenship is required.