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Systems Analyst-Technical Staff

Massachusetts Institute of Technology (Lincoln Lab)

Lexington, MA · Posted October 12, 2026

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  • Python
  • Machine learning
  • Matlab
  • C#

About the job

The Tactical Autonomy Group develops and delivers AI-enabled autonomy and robotic systems where it counts - at the tactical edge. The Group combines academic depth in algorithms, controls, and machine learning with direct mission pull from operational end-users to solve problems others can’t. We don’t stop at papers: we design, build, integrate, field-test, and transition autonomy stacks - spanning perception, decision-making, learning, and control - into real operations.

Position Description

The Group is seeking applicants to conduct rigorous and insightful systems analysis addressing the capability and impact of autonomous systems for the military and intelligence community. This requires the development of physics and engineering-based models of these systems in various programming languages. Scenarios may be run in varied modeling and simulation software suites such as Advanced Framework for Simulation, Integration, and Modeling (AFSIM); Digital Integrated Air Defense System (DIADS); and internal Lincoln Laboratory-developed modeling capabilities. Since autonomous systems involve many integrated components and need to operate across many domains, a successful candidate should have the ability to understand a wide array of technologies including autonomy algorithms, sensors, aircraft, communication systems, electronic warfare systems, and navigation. Applicants should be adaptable to new problems that may be outside their formal training and understand how these technologies integrate into a “big picture” solution. Applicants should also demonstrate strong team leadership skills and enjoy working in a team environment.

Minimum Qualifications

Ph.D. in Physics, Engineering, Applied Mathematics, Robotics, or a related field.

In lieu of a Ph.D., a Masters in the above areas with a minimum of 5 years of relevant experience will be considered.

Experience developing physics-based models using MATLAB, C++, Python, or other similar languages.

Direct experience with the development of autonomous systems is preferred.

Candidates should have strong skills in the development and presentation of technical materials to varied audiences.

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 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: 43070