Wireless Communications Engineer & Analyst-Technical Staff
Massachusetts Institute of Technology (Lincoln Lab)
Lexington, MA · Posted October 15, 2026
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About the job
Position Description
The Group is seeking creative and enthusiastic candidates with an interest in applying wireless communication principles, as well as signal detection and machine learning techniques, to develop algorithms and radio design approaches that enable new capabilities in next-generation RF communication/sensing systems and networks, and/or testing, integrating, and demonstrating these novel capabilities in hardware and real-time software in lab, vehicle, and flight environments.
Day to Day Activities Include Leading One or More of the Following:
Design and/or analysis of communications and sensing algorithms, links, networks, waveforms, and capabilities
Prototyping these capabilities, which may involve RF systems engineering and/or embedded signal processing
Oversight of lab testbed setup and configuration
Planning and executing laboratory/field experimentation and data collection
Post-experiment data analysis and documentation
Minimum Qualifications
Ph.D. in Electrical Engineering, Applied Mathematics, Computer Science, Physics, or similar field.
In lieu of a Ph.D., an M.S. in the above areas with a minimum of 5 years of directly related experience will be considered.
Experience with digital communication systems and information theory is desirable. Equally open to applicants with a demonstrated background in a relevant technical area, such as mathematics, computer science, machine learning, RF systems engineering, and/or physics, who have a strong interest and motivation to apply their skills to problems in communications.
Highly effective written and verbal communication skills
Ability to work effectively in a team and set priorities
Strong problem-solving skills
Preferred Qualifcations
Experience with the use of scripting in languages such as MATLAB/Python to orchestrate lab/field tests and analyze results
Experience applying unsupervised and supervised machine learning techniques to solve signal/data processing problems
Experience designing or testing FPGA-based hardware designs and/or C++ software developed for real-time Linux operating systems
Exposure to test planning and execution of field experiments involving RF communications or sensing systems
Exposure to design/evaluation of mesh networking protocols
This position will include a mixture of on-site, travel, and remote work as needed to support integration and field events.
Recent Graduate Hiring Range: $145,200-$170,000
Experienced Hiring Range: $145,200-$220,000
Disclaimer: 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 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 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 Top Secret level security clearance with compartmented program eligibility.
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: 42744