Autonomous laser defense systems against unmanned aircraft threats
Aurelius Systems builds AI-powered directed-energy laser systems for counter-UAS defense. The tech stack—MATLAB, C++, Python, TensorFlow, PyTorch, Zemax, COMSOL—reflects a heavy simulation and embedded-AI workload, with active projects spanning optical design, real-time targeting, and edge-deployed robotics. Engineering-focused hiring (12 roles, balanced mid/senior split) and recurrent pain points around latency optimization and real-world performance testing signal a company still moving from lab prototypes toward field-hardened systems.
Aurelius Systems designs autonomous laser defense platforms to counter Unmanned Aircraft System threats. The company operates across the full development lifecycle—R&D through field deployment—with a stated focus on cost-per-shot economics and scalability. Based in San Francisco with 11–50 employees, the team is structured around engineering; current hiring is concentrated in the United States. Core technical work spans high-power fiber laser design, beam-train assembly, automated aiming algorithms, and real-time system integration across power electronics, perception, and control layers.
Aurelius uses MATLAB, C++, Python, TensorFlow, PyTorch, TensorRT, and OpenVINO for AI workloads; Zemax and COMSOL for optical and electromagnetics simulation; Altium Designer for electronics; and ARM/Linux/GPU for embedded systems.
Active projects include the Archimedes Laser Sentinel, high-power fiber laser system design, automated targeting and aiming, optical simulation, beam-train architecture, and autonomous edge-deployed robotics for laser system integration.
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