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Salary
≈ $74k – $174k per year (Estimated)
Location
In office (Poway)
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H-1B filings in 12 months: 1

Confirmed on the employer's own hiring board on Oct 30, 2026. First seen by Alion on Sep 24, 2026.

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Headquartered in San Diego, California, General Atomics is a prominent defense and diversified technologies corporation specializing in advanced aerospace and energy systems. The company develops and manufactures industry-defining remotely piloted aircraft, including the Predator and Reaper series, alongside electromagnetic aircraft launch systems and airborne surveillance technologies. It also remains a pioneer in high-energy physics, operating the largest magnetic fusion research facility in the United States and driving critical innovations in nuclear power.
Backed by FACIT

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.

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