Designs and implements behavior planning systems for autonomous vehicles operating in structured, low-speed airport environments. Develops planning algorithms, decision-making modules, and scalable C++ and Python software; tests in simulation and real-world scenarios; optimizes performance and latency; and collaborates with autonomy and engineering teams. The role involves multi-agent interaction modeling, state machines, behavior trees, probabilistic planning, path planning, dynamic replanning, documentation, and system integration.