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MIT Lincoln Laboratory 33: Technical Staff - Systems Engineer in Lexington, Massachusetts

The Advanced Sensor Systems and Test Beds Group (Group 33) conducts exciting research in the development and demonstration of advanced sensor systems and command and control (C2) architectures for the U.S. Government. The Group incorporates emerging technologies in sensing concepts, autonomy, distributed systems, signal and data processing algorithms, and open architectures into system design concepts, enabling innovative solutions to complex problems. Major activities within the group include RF and optical system design and development, system modeling and simulation, signal processing algorithm development, experimental field testing and data analysis, and development of one-of-a-kind operational and experimental test assets. The group believes in collaborative research, and has expertise in multiple technical fields including radar systems analysis, adaptive sensor array and signal processing, RF and optical systems, HF radar and communications, integration and test, embedded programming, real-time software techniques, signal and detection estimation, Kalman filtering, CFAR detection, bistatic radar, real-time signal processing . Our technical staff members hold advanced degrees in electrical engineering, physics, applied mathematics, and computer science. The group also conducts local, national, and international field testing and data collection to prove new concepts for real-time prototype implementation, experiment execution, and systems analysis.

Job Description

Group 33 is seeking a technical staff member to contribute to the concept development, analysis, prototyping, and evaluation of advanced sensor systems and control architectures. The group is considering applicants interested on one or more of the following areas: radar systems development, systems analysis, signal detection and processing, systems modeling for evaluating algorithms and architectures, and RF/Microwave hardware engineering. The candidate hired for this position will collaborate on a diverse and multi-disciplinary team addressing cutting-edge problems, identifying technology needs, developing candidate solutions, and quantifying performance of systems and architectures.

Early career candidates are strongly encouraged to apply, and if selected, will work with experienced group members to learn about our mission areas and identify career growth paths.

Required expertise:

  • PhD in Electrical Engineering, Applied Mathematics, Physics, Computer Science or a related technical field. In lieu of a PhD, an MS in the above areas with a minimum of 5 years of directly related experience will be considered. Candidate must be able to obtain elevated level of security clearance.

  • Ability to communicate effectively with colleagues, sponsors, and other research organizations.

    At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:

  • Comprehensive health, dental, and vision plans

  • MIT-funded pension

  • Matching 401K

  • Paid leave (including vacation, sick, parental, military, etc.)

  • Tuition reimbursement and continuing education programs

  • Mentorship programs

  • A range of work-life balance options

  • ... and much more!

    Please visit our Benefits page (https://hr.mit.edu/benefits) for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks (https://hr.mit.edu/benefits/additional) .

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

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.

Requisition ID: [[id]] #CJ

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