Systems Engineer

The Homeland Decision Support Systems Group focuses on end-to-end system architectures design, decision support, and advanced analytics to enhance the protection of the homeland and U.S. interests overseas. In collaboration with industry and academia, we are working at the frontiers of AI to develop and integrate advanced decision support prototypes that can address national security needs in the land, sea, air, and space domains.

We have deployed real-time enterprise and edge solutions that support the warfighters at multiple Combatant Commands across the globe, providing a measurable impact to their missions. Our technical expertise spans deep learning, computer vision, natural language processing, graph theory, big data architectures, operations research, and system autonomy. Our goal is to enhance national security by leading the nation in developing and deploying advanced decision support systems utilizing cutting edge AI and machine learning technologies.

The Homeland Decision Support Systems Group is seeking highly motivated candidates who have a passion for solving challenging problems. As a Staff Engineer / Scientist in our Group, you will be responsible for understanding development of complex systems, implementing software, models based on first principles, and developing recommendations to inform government leadership on the most challenging problems related to homeland protection.

You will have the opportunity to work with an experienced, multi-disciplinary team of researchers and engineers to develop technologies for complex systems. Our recent areas of research include defense systems design recommendations and prototyping, real time situational awareness, automated network inference, multi-sensor fusion, cloud-based algorithms and assessments, and machine learning applications. We encourage engagement with the academic and government community at-large through publications and conference attendance.

We collaborate with Groups across MIT Lincoln Laboratory to provide our team members with access to unique datasets, state‑of‑the‑art resources, and challenging technical problems that will give you the opportunity to use your skills to make a real‑world impact.

• Doctorate or equivalent in Computer Science, Computer Engineering, Physics, Engineering, Mathematics, Applied Mathematics, Chemistry, or related discipline. In lieu of a PhD, a Master’s degree and 3 years’ relevant experience will be considered
• Ability to quickly learn new technical areas and apply that knowledge effectively to solve challenging mission problems
• Ability to clearly present technical concepts to a wide spectrum of audiences
• Proficient at two or more high-level prototyping software languages (e.g., Python, Java, Julia, Matlab)
• Ability to develop, implement, test and evaluate novel algorithms and concepts
• Experience leading a technical team
• The ability to balance and prioritize multiple projects at once
• Intellectual curiosity and desire to lead exploration into new technical areas in support of the group’s mission

• Expertise in processing large datasets and data exploitation techniques
• Experience mentoring less-experienced staff
• Knowledge of sensors and sensing modalities, physics of sensor operation

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,…