Software Engineer

Responsibilities

• Define and influence the direction of a small team through subject-matter expertise in target tracking and state estimation.
• Prototype and deploy algorithms for tracking, multi-sensor data fusion, and state estimation.
• Develop high-performance software for real-time systems, simulations, and decision-support tools.
• Design filters, estimators, and probabilistic reasoning systems for noisy, ambiguous, or incomplete sensor data.
• Analyze system performance with high-fidelity simulations, modeling tools, and statistical techniques.
• Customize tracking and sensor-fusion algorithms and software for mission-critical customer use cases.
• Integrate tracking and estimation technologies through requirements definition, testing, and optimization.
• Communicate technical progress and actionable insights to colleagues and end users.

Requirements

• Proficiency in algorithm design, software development, statistical modeling, and C/C++, Python, and MATLAB programming.
• Knowledge of target tracking techniques including Kalman filters, particle filters, and multi-target tracking algorithms such as JPDA, MHT, and PHD filters.
• Experience with state estimation, Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Understanding of linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing for radar, lidar, and EO/IR sensor data.
• Familiarity with big data pipelines, NoSQL databases, and large-scale sensor data processing.
• Background in machine learning for target tracking and recognition, including clustering, classification, and anomaly detection.
• Ability to engineer robust systems involving estimation theory, adaptive filtering, controls, and complex signal environments.
• Ability to work across the lifecycle from prototyping through production optimization.
• Eligibility to obtain and maintain an active U.S. Top Secret security clearance.

Benefits

• Comprehensive, competitive benefits package available at little to no cost for full-time employees.