Lead Algorithm Developer

Key Skills

Aartificial intelligence, Algorithms, C++, Julia, Machine learning techniques, 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) conducts 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 systems to support integration of Uncrewed Aircraft Systems (UAS) and Advanced Air Mobility (AAM) platforms into the US 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.

Job Description

We are looking for applicants with an interest and background in applied engineering, modeling and simulation and algorithm development to support the development of algorithms and systems for autonomous and semi-autonomous vehicles. Additionally, we are looking for applicants to develop new advanced decision support systems as well as architectures and techniques for developing and deploying semi-autonomous systems in the broader transportation domain. Example problem areas include algorithm development for surveillance and tracking algorithms, collision avoidance logic, and evaluating system performance for vehicle separation and path planning applications. responsibilities 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 and extending our impact to other areas of the transportation domain. Additional responsibilities may include collaborating in test planning and field/flight test operations, as well as evaluation and presentation of data collected during field tests.

The Surveillance Systems Group supports a hybrid work environment.

Requirements:

Required Qualifications:

• PhD in engineering, physics, Mathematics, computer science or similar field; in lieu of a PhD a Masters degree with four years of relevant experience will be considered

• Experience with probability and statistics and algorithm development

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

• Ability to collaborate well as part of a team with good interpersonal sills

• Clear communication skills to a wide spectrum of audience

Desired qualifications

• Experience developing algorithms and/or mathematical models in a simulation environment

• Experience with machine learning and artificial intelligence

• Knowledge in the fields of probability theory and software development

• Knowledge of the air or surface transportation domain

• Experience in other programming languages python and C++

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.