Perception Engineer
Posted 12 Jul 2026
Advertised as “Perception Engineer III”
BranchFactor Summary
The original posting with the fluff stripped out
- Level
- III
- Expected experience
- 6–9 yrs
- Management level
- People management
- Employment
- Remote
No salary listed for this role.
Field of studyAerospace Engineering, Applied Mathematics, Computer Science, Electrical Engineering, Robotics (or related)
Study levelBachelor's or higher
At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter.
We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here.
We are seeking a Senior Robotics Perception Engineer to serve as the perception technical lead embedded within a program team, developing seeker, target state estimation, and world modeling capabilities on top of our common AI/ML platform. You will own perception architecture and delivery for the program while contributing reusable capabilities back to the platform, working across the full pipeline from sensor data to actionable world state consumed by autonomy and mission software.
Responsibilities:
Target State Estimation & Seeker Systems
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Design and develop target detection, tracking, and state estimation pipelines that produce robust track kinematics under challenging observation conditions
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Implement track initiation, maintenance, association, and termination logic with well-characterized uncertainty
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Develop and tune nonlinear state estimators (EKF, UKF, particle filters) for target motion modeling
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Characterize seeker performance across engagement geometries, environmental conditions, and target signatures
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Define confidence and covariance outputs that downstream autonomy can reason about
World State Modeling & Multi-Source Fusion
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Architect the world state representation that fuses self-state, target tracks, terrain, threats, and mission context into a coherent model
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Integrate outputs from VIO/SLAM, sensor fusion, and target tracking into a unified perception picture
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Manage temporal alignment, coordinate frames, and data association across heterogeneous sensor streams
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Define perception-to-autonomy interfaces with clear semantics for state, uncertainty, and freshness
Autonomy Integration & System Architecture
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Own the perception architecture for the program and drive alignment with autonomy, guidance, and mission software teams