Design and implement advanced tracking algorithms for novel air and missile threats, including multi-target tracking, track fusion, and discrimination techniques
Develop high-performance, real-time software systems that process radar sensor data and maintain tracks on dozens to hundreds of simultaneous targets
Build and leverage modeling & simulation environments to validate tracking performance, quantify system capabilities, and identify areas for improvement
Collaborate directly with radar engineers and system architects to integrate tracking solutions into end-to-end defense systems
Optimize tracking software for performance-critical environments where milliseconds matter
Communicate technical concepts and trade-offs to cross-functional teams, program leadership, and customers to drive informed decisions
Participate in customer demonstrations and field tests to ensure successful deployment and operational effectiveness
Qualification
Solid foundation in mathematicsAbility to obtain and maintain a UExperience with trackingBackground in controls
Required
0-2 years of relevant experience & Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related technical field (or equivalent experience)
Strong programming skills in C++ and Python
Solid foundation in mathematics: linear algebra, probability, statistics, and/or differential equations
Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
Ability to obtain and maintain a U.S. Top Secret SCI security clearance
Preferred
Experience with tracking, estimation, or filtering algorithms (Kalman filters, particle filters, multiple hypothesis tracking, etc.)
Background in controls, estimation theory, or digital signal processing
Familiarity with radar systems or sensor fusion
Experience with high-performance computing (multithreading, GPU acceleration, distributed systems)
Knowledge of machine learning techniques for classification, clustering, or data association
Proficiency with database technologies (SQL, NoSQL, time-series databases)
Experience with web development technologies (JavaScript, React, Node.js) for building visualization and analysis tools
Familiarity with modeling and simulation tools (MATLAB, Simulink, or custom frameworks)
