Systems/Software Algorithms Engineer (MATLAB)

Develop and evaluate missile system algorithms for functions such as tracking, targeting, signal processing, sensor fusion, estimation, decision logic, and performance optimization. Translate operational needs into algorithm concepts and MATLAB prototypes; support verification and transition into production of C/C++ or embedded software. Design representative test cases, truth data, Monte Carlo analyses, and performance metrics to evaluate robustness across the operating envelope. Integrate algorithm models with simulations, sensors, GNC, embedded software, and laboratory test environments; investigate anomalous behavior and recommend design changes. Define algorithm architecture, lead technical trades, establish verification strategy, mentor engineers, and coordinate across systems, GNC, software, modeling, hardware, and test teams.

At least 8 years of relevant algorithm development, systems engineering, estimation, tracking, signal processing, controls, autonomy, or applied-mathematics experience. Bachelor’s degree in electrical engineering, computer engineering, aerospace engineering, computer science, applied mathematics, physics, or a closely related technical discipline. Advanced MATLAB experience developing algorithms, analytical models, test harnesses, or system performance assessments. Strong foundation in numerical methods, probability/statistics, linear algebra, estimation, optimization, or digital signal processing as applicable to prior work. Experience developing requirements, documenting algorithm behavior, and presenting technical findings to multidisciplinary teams. Ability to work full-time on site in Northridge, California. U.S. citizenship and eligibility to obtain a U.S. government security clearance if required by the program; an active clearance is not required at hire., Direct missile, guided weapon, seeker, fire-control, tracking, targeting, or aerospace/defense algorithm experience. Experience with radar, electro-optical/infrared, RF, inertial, navigation, or multi-sensor data. Experience converting MATLAB algorithms to efficient C/C++ or supporting embedded real-time implementation. Working knowledge of Simulink, Python, Git, automated test, data analysis, and software configuration practices. Experience with Kalman filtering, track filtering, detection and estimation theory, sensor fusion, optimization, or machine learning where applicable. Experience supporting software-in-the-loop, hardware-in-the-loop, field test, ground test, flight test, or post-test data analysis. #J-18808-Ljbffr