Senior Tracking And Data Fusion Algorithm Engineer

We are expanding our algorithm team working on operational defense command-and-control systems and are looking for an experienced tracking 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.

Responsibilities

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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

• 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.

Why Join Us

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