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Zone 5 Technologies

Perception Engineer III

United StatesFrom $185kmidAdded today

About this role

Zone 5 Technologies seeks a Perception Engineer III to lead perception architecture for unmanned aircraft systems, developing target detection, tracking, and world modeling capabilities. You'll own the full sensor-to-autonomy pipeline, designing state estimators and seeker systems while contributing reusable components to a shared AI/ML platform.

What you'll do

  • Design and develop target detection, tracking, and state estimation pipelines for robust performance under challenging conditions
  • Implement track initiation, maintenance, association, and termination logic with characterized uncertainty
  • Develop and tune nonlinear state estimators (EKF, UKF, particle filters) for target motion modeling
  • Characterize seeker performance across engagement geometries, environmental conditions, and target signatures
  • Define confidence and covariance outputs for downstream autonomy consumption
  • Lead perception architecture decisions and technical delivery for the program

What they're looking for

  • Target tracking and state estimation
  • Kalman filtering variants (EKF, UKF, particle filters)
  • Computer vision and sensor fusion
  • Python and C++ development
  • Robotics and autonomous systems
  • Nonlinear estimation theory
  • Real-time signal processing
  • Technical leadership and architecture design
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Zone 5 Technologies

Zone 5 Technologies designs and manufactures unmanned aircraft systems and UAVs, focusing on advanced avionics integration and autonomous flight technologies. The company is hiring Systems Integration & Test Engineers, Systems Engineers, and Continuous Improvement Engineers to develop Hardware-in-the-Loop environments, optimize manufacturing processes, and validate next-generation unmanned aircraft systems.

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Likely interview questions

  • Walk us through your approach to designing a multi-hypothesis tracking system that handles target occlusion and measurement ambiguity
  • Describe your experience tuning nonlinear filters in production systems—what challenges have you encountered with covariance estimates?
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