MIT Lincoln Laboratory-posted 2 months ago
$24 - $31/Yr
Intern
Hybrid • Lexington, MA
5,001-10,000 employees
Professional, Scientific, and Technical Services

At MIT Lincoln Laboratory, located at the vibrant nexus of academia, industry, and government, we are renowned for our groundbreaking solutions to some of the nation's most intricate and complex challenges. Within the Engineering Division, our team collaborates extensively-not only within the Laboratory but also across the MIT campus-bridging a myriad of disciplines to innovate through robust analysis, design, prototyping, and testing. Our team culture is energized by our diverse group of talented professionals who bring a rich mix of skills and experiences to the table. We champion a balanced approach to work and life, promoting productivity through flexible schedules and hybrid work arrangements. The Control and Autonomous Systems Engineering Group at MIT Lincoln Laboratory is at the forefront of research and development in autonomy. Our projects range from theoretical research to the actual deployment of systems in oceanic, terrestrial, aerial, and space environments. We are looking for innovative thinkers who are eager to drive advancements in autonomous systems and robotics. If you are ready to contribute to cutting-edge research and development within a multidisciplinary team, MIT Lincoln Laboratory offers a dynamic and supportive environment for you to thrive.

  • Participate in various aspects of autonomous systems development.
  • Design, develop, and test software algorithms and hardware prototypes.
  • Work on projects including pointing and stabilization of space optical payloads.
  • Engage in small satellite state estimation and control.
  • Contribute to precision navigation of autonomous aerial, ground, and underwater vehicles.
  • Coordinate teams of heterogeneous unmanned systems.
  • Conduct basic research on efficient human-robot interaction and teaming.
  • Pursuing an undergraduate or graduate degree in a relevant field such as Electrical, Mechanical or Robotics Engineering, Physics, Computer Science, or Applied Mathematics.
  • Course work or hands-on research experience with controls, robotics, computer vision, and/or machine learning.
  • Ability to obtain and maintain a Secret level DoD security clearance.
  • Flexible schedules and hybrid work arrangements.
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