Perception Engineer Security Clearance

Position: Perception Engineer with Security Clearance
General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. Join our Perception group to design and implement a real-time Dynamic Environment Model (DEM) to support multi-sensor fusion, track management, and sensor resource management across advanced unmanned systems.

This role will design and implement the perception and fusion infrastructure that aggregates radar, EO/IR, ESM, and other sensor inputs into a coherent, uncertainty-aware spatiotemporal world model, enabling high-confidence situational awareness and autonomous decision-making. This role focuses on real-time systems, probabilistic fusion, tracking, data structures, and performance-critical C++.

DUTIES AND RESPONSIBILITIES:

* Build and optimize real-time DEM data structures:

* Spatiotemporal voxel grids / occupancy & belief fields

* Confidence, decay, and provenance tracking

* Implement deterministic fusion + perception infrastructure:

* Sensor synchronization, buffering, time alignment, calibration

* Real-time data association and multi-sensor integration

* Support tracking engineers implementing IMM-EKF/UKF, JPDA, and data association models

* Design and maintain low-latency transport (ZMQ/DDS/ROS2, shared memory, lock-free queues)

* Develop tools for:

* Replay and Monte-Carlo evaluation

* Field test debug & metrics

* Live introspection and visualization of DEM states & tracks

* Collaboration

* Work closely with:

* Tracking & state estimation engineers

* ML engineers building feature and occupancy networks

* Autonomy stack and mission systems teams

* Contribute to sim-to-real validation
We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply. Job Qualifications
* Typically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. May substitute equivalent machine learning engineer experience in lieu of education.

* Strong C++ and Python

* Experience with:

* Multi-sensor fusion (IR/Radar/ESM ideal)

* Real-time systems, concurrency, memory optimization

* Kalman-family filters and uncertainty modeling

* Familiarity with:

* JPDA / multi-target tracking frameworks

* DDS / ZMQ / ROS2 or similar messaging

* Spatiotemporal mapping or occupancy grid systems

* STAP/DPCA basics or RF signal chain awareness

* Ability to obtain and maintain a DOD security clearance required.