Modular autonomous systems for Department of Defense missions
Firestorm designs and manufactures modular unmanned systems for military special operations and air-base defense. The stack spans embedded systems (C/C++, RTOS, PX4, ROS 2) and manufacturing automation (SolidWorks, Fanuc, ABB), with cloud infrastructure (AWS, Azure, Terraform) supporting real-time flight data pipelines. The hiring surge (56 roles in 30 days, two-thirds engineering and manufacturing) reflects scaling from prototype toward low-rate production—a bottleneck explicitly named in their challenges.
Notable leadership hires: Government Relations Lead, Security Director
Firestorm is a San Diego-based defense manufacturer founded in 2022, building affordable, mission-configurable autonomous systems for the U.S. Department of Defense and special operations forces. The company operates across three technical domains: embedded avionics and flight control (PX4, ArduPilot, ROS 2), manufacturing execution (additive and traditional machining), and integration testing (hardware-in-the-loop and software-in-the-loop environments). Production constraints and export compliance are core operational challenges; the organization is actively hiring senior engineers and manufacturing leads to resolve scaling bottlenecks.
Embedded C/C++, Python, ROS 2, PX5, and ArduPilot for flight systems; SolidWorks and Fanuc/ABB for manufacturing; AWS, Azure, and Terraform for infrastructure; React, Node.js, TypeScript, and PostgreSQL for backend services.
Hardware-in-the-loop and software-in-the-loop automation for avionics; next-generation UAV systems; real-time flight data monitoring; ground test and validation frameworks; and production scaling from prototype to low-rate manufacturing.
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Firestorm'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.