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.
RequirementsWe 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.
Top Skills
What We Do
mPrest is revolutionizing orchestration & optimization software for industrial IoT. Our AI and data-driven technology provides real time, end-to-end visibility and control over mission-critical systems, enabling digital IT/OT integration. mPrest is primarily focused on Renewable Energy, while also working with Smart Cities, Cyber, Homeland Security, and Defense.
