Senior Radar & Sensor Fusion Engineer

Merge radar, lidar, EO/IR, and acoustic streams into a high-confidence local air-defense track map with real-time filtering.

A clear air picture comes from many imperfect sensors agreeing. You will fuse radar, lidar, EO/IR, and acoustic streams into a single high-confidence track map, filtering clutter and computing absolute threat coordinates in real time. This is heavy math — Bayesian filtering, multi-hypothesis tracking — turned into fast, multithreaded C++/Rust that holds up against real counter-drone scenarios. When the system says there is a threat at a bearing, crews need to trust it.

• Bayesian filters, EKF, and multi-hypothesis tracking
• C++/Rust with multithreaded real-time computation
• Working with lidar point clouds, acoustic arrays, micro-radar returns
• Geographic projection transforms for radar coordinates

• Build fusion arrays that compute absolute threat coordinates
• Filter environmental noise from signal processors
• Benchmark tracking against counter-drone assets
• Turn sensor models into portable libraries