We are expanding our algorithm team working on operational defense command-and-control systems and are looking for a Senior Tracking and Data Fusion Algorithm Engineer. This role focuses on the development of real-time multi-target tracking and sensor fusion algorithms deployed in mission-critical environments This is not a pure ML position. It is a model-based tracking and estimation role with operational deployment responsibility.
Requirements:
We are looking specifically for engineers with hands-on experience in:
* Multi-sensor tracking systems (radar / EO / telemetry / external feeds)
* State estimation (KF / EKF / UKF / IMM / Particle Filters)
* Data association frameworks (MHT / JPDA / probabilistic matching)
* Track lifecycle logic (initiation, maintenance, termination, merging, splitting)
* Clutter handling, mis-detections, false alarms
* Uncertainty propagation and confidence modeling
* Real-time performance constraints and deterministic latency
We are looking specifically for engineers with hands-on experience in:
* Multi-sensor tracking systems (radar / EO / telemetry / external feeds)
* State estimation (KF / EKF / UKF / IMM / Particle Filters)
* Data association frameworks (MHT / JPDA / probabilistic matching)
* Track lifecycle logic (initiation, maintenance, termination, merging, splitting)
* Clutter handling, mis-detections, false alarms
* Uncertainty propagation and confidence modeling
* Real-time performance constraints and deterministic latency
* MSc/PhD in EE / Aerospace / Applied Math / Physics / CS
* Proven experience in defense, aerospace, ISR, air/missile defense, or similar domains
* Strong background in probabilistic estimation and stochastic systems
* Production-level implementation experience (Python and/or C++)
* Ability to reason about algorithm stability under adversarial or degraded conditions Active security clearance or eligibility – strong advantage. If you have built real tracking systems – not simulations only – we would like to connect.
This position is open to all candidates.
