Teams at Swarm Aero

Develop and optimize detection, tracking, and multi-sensor fusion algorithms (Kalman/particle filters, multi-target tracking) for resource-constrained UAVs. Train and deploy neural networks for ATR, design distributed swarm fusion, validate against flight data and simulation, and optimize models for real-time edge inference. Travel up to 25% for tests.

Define and own autonomy architecture for large-scale UAV swarms: design perception, planning, control, and inter-robot/C2 protocols; make system tradeoffs; mentor engineers; write production-quality code; support test events (up to 25% travel).

Develop on-vehicle and simulation software across the autonomy stack: planning behaviors, sensor and payload integration, embedded/vehicle platforms, realistic UxS simulation, and electronics prototyping. Ensure reliable, testable code and support onsite test/integration events (up to 25% travel).