Perception Engineer

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. Job Category Engineering Experience Level Mid-Level (3-7 years) Workstyle Hybrid Full-Time/Part-Time Full-Time Salary Pay Range Low 81,080 Pay Range High 141,650 Travel Percentage Required 0% - 25% Relocation Assistance Provided? No US Citizenship Required? Yes Clearance Required? Desired Clearance Level Secret