Air Space Intelligence
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Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Build software simulators modeling the National Airspace System, including aircraft trajectories, weather, air traffic control, and pilot behavior. Design simulation infrastructure and physics-based models using discrete-time simulation, statistics, algorithms, and Monte Carlo analysis. Develop mission-critical software for aviation decision-support systems and collaborate across teams in a safety-critical environment.
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Designs and implements guidance, navigation, and control algorithms for tracking and planning aircraft trajectories in the National Airspace System. The role applies state estimation, physics, aircraft design, optimization, Monte Carlo validation, and modern software development to safety-critical real-time aviation systems. Engineers collaborate across teams and use LLM tools to improve development workflows and code quality.
Aerospace • Artificial Intelligence • Logistics • Machine Learning • Software • Transportation • Defense
Design, analyze, and implement real-time optimization software for tracking and planning aircraft trajectories across the National Airspace System. Apply operations research, optimization, statistics, data science, and machine learning to mission-critical aviation systems. Develop algorithms using approaches such as linear programming, mixed-integer programming, constraint satisfaction, and greedy optimization. Analyze large datasets, build predictive models, collaborate across teams, and use modern LLM tools to improve development workflows and code quality.
