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General Atomics Aeronautical Systems · 2 weeks ago

Perception Engineer

Poway, CA

Full-time

Onsite

Senior Level

$81K/yr - $142K/yr

5+ years exp

General Atomics Aeronautical Systems, Inc. (GA-ASI) is a world leader in remotely piloted aircraft and tactical reconnaissance radars. They are seeking a Perception Engineer to design and implement a real-time Dynamic Environment Model to support multi-sensor fusion and autonomous decision-making across advanced unmanned systems.

EnergyEnergy EfficiencyManufacturingWireless

No H1B

Security Clearance Required

U.S. Citizen Only

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

Qualification

C++PythonMulti-sensor fusionReal-time systemsKalman-family filtersConcurrencyMemory optimizationJPDA trackingDDSZMQROS2Spatiotemporal mappingOccupancy grid systemsRF signal chain awareness

Required

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

Ability to obtain and maintain a DOD security clearance required

Preferred

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