Distributed radar and sensing systems for defense, aviation and border security
CHAOS Industries builds networked radar and sensing products for military, commercial aviation and border protection users. Its stack is hardware-first (FPGAs, Xilinx, VHDL, SystemVerilog, CUDA, Analog Devices) with Azure handling distributed radar backends. Hiring skews heavily toward senior and principal engineers, while active work on production transition and Anaplan adoption points to a shift from R&D prototypes toward scaled manufacturing.
Notable leadership hires: Chief of Staff, Communications Systems Lead
CHAOS Industries is a privately held defense technology company founded in 2022 and headquartered in Los Angeles, CA. It develops a portfolio of products built on its Coherent Distributed Networks technology, serving warfighters, commercial air operators and border protection teams. The company employs 201–500 people and hires across the United States, the United Kingdom and the United Arab Emirates. Its work spans radar hardware, signal processing software, airframe design and field testing.
CHAOS Industries uses Python, C++, MATLAB, FPGAs (Xilinx, AMD), VHDL, Verilog, SystemVerilog, NVIDIA CUDA, SolidWorks, Docker and Azure, plus NetSuite, SAP and Oracle on the business side. It is adopting Anaplan and Jira.
Job posts point to next-generation radar products, radar signal processing for target detection and tracking, real-time sensor data backends, Azure infrastructure for distributed radar, and a clean sheet airframe design.
CHAOS Industries hires in the United States, the United Kingdom and the United Arab Emirates, with its headquarters in Los Angeles, CA. Hiring is engineering-dominated and weighted toward senior talent.
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CHAOS Industries's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.