Radar Systems Engineer Jobs

Advanced Sensor Systems and Test Beds Group Technical Staff MemberThe 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 architectures for the U.S. Government. The group incorporates emerging technologies in autonomy, distributed systems, signal and data processing algorithms, and open system architectures into system design concepts, enabling innovative solutions to complex problems. Major activities within the group include RF 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 emphasizes collaborative research and has expertise in technical fields including HF radar and communications, adaptive signal processing, space-time adaptive processing, Kalman filtering, radar systems analysis, CFAR detection, bistatic radar, and 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 and international field testing and data collection to investigate and demonstrate new concepts.Group 33 seeks a technical staff member, with research interests in any of the following fields: HF Over-the-Horizon radar, RF hardware integration, adaptive signal processing, ionospheric phenomenology and modeling, and radar systems engineering. The successful candidate will contribute to the group's efforts in developing new radar applications, and also collaborate on diverse and multi-disciplinary teams to design, build, and test HF radar systems for these new applications. Candidates should be comfortable proposing and exploring innovative radar techniques and technologies, and understand how such technologies can impact an existing radar system's capability.Required:PhD degree in electrical engineering, applied mathematics, physics, or related technical field, with 3 or more years of relevant experience in HF radar, adaptive signal processing, ionospheric phenomenology, or radar systems engineering. In lieu of a PhD degree, an MS degree with 7 years of relevant experience will be considered.Experience with data analysis tools (MATLAB, Python, etc.)Ability to communicate and work effectively with colleagues, sponsors, and other research organizationsRecent Graduate Hiring Range: $145,200 - $170,000 Experienced Hiring Range: $145,200 - $220,000Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.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 plansMIT-funded pensionMatching 401KPaid leave (including vacation, sick, parental, military, etc.)Tuition reimbursement and continuing education programsMentorship programsA range of work-life balance options... and much more!Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks. 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.