Engineer/Algorithm Developer

Key Skills

Algorithms, C++, Julia, Mathematics, MATLAB Programming, Python Programming, Simulation software, Software Development

Job Description

The Surveillance Systems Group ( https://www.ll.mit.edu/r-d/air-traffic-control/surveillance-systems) research, development and evaluation of novel surveillance systems and state of the art integrated sensing and decision support architectures to support safe and efficient air and surface transportation. We are the world expert in airborne collision avoidance systems for crewed aircraft (https://www.ll.mit.edu/r-d/projects/airborne-collision-avoidance-system-x) and are currently leading efforts to develop sensing, vehicle to vehicle communications and machine learning based decision to support integration of increasingly autonomous systems, such as Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM) platforms, into the U.S. National Airspace System. We have received several R&D 100 awards, and our ACAS X collision avoidance system is a finalist for the 2019 Collier Trophy. Advances in autonomy and decision support will bring forth unprecedented changes to safety and efficiency for both air and surface transportation. To support these efforts, we apply a broad base of analysis, modeling, optimization and machine learning to develop sensing architectures and decision support tools to ensure safe and efficient operation of autonomous systems across the broader transportation domain.

We are looking for applicants with an interest and background in applied engineering, modeling and simulation and algorithm development, to support the development and implementation of safety critical systems and planning algorithms to enable safe and efficient integration of increasingly autonomous systems into the transportation system. Example problem areas include analysis and algorithm development for surveillance and tracking algorithms, collision avoidance logic, and evaluating system performance for vehicle separation and collision avoidance applications. Additionally, we are looking for applicants to develop new advanced decision support systems as well. Activities will include algorithm development and assessment, modeling, simulation, and data analysis. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions. Additional responsibilities may include participation in test planning and flight test operations, as well as analysis and presentation of data collected during field tests. The Surveillance Systems Group supports a hybrid work environment.

Required qualifications:

• Master’s degree in engineering, physics, Mathematics, or computer science OR a Bachelor’s degree in these fields, with three years of directly related experience.

• Proficient at high-level prototyping software languages (e.g., Matlab, Python, Julia).

• Ability to work in a team environment.

• Clear communication skills to a wide spectrum of audiences.

Desired qualifications:

• Experience developing algorithms and mathematical models in a simulation environment.

• Knowledge in the fields of probability theory and software development.

• Experience in other programming languages, python and C++

• Deep understanding of software development processes, including source control and source peer review

• Knowledge of the air, surface, or maritime transportation domain.

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.

To safeguard our health and well-being, MIT Lincoln Laboratory requires COVID-19 vaccination for all employees. Individuals may request exemption from the vaccine requirement for medical or religious reason.

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.