Unmanned aerospace and defense systems built on in-house manufacturing
Mach Industries designs and produces unmanned strike aircraft, munitions, and counter-drone systems in Huntington Beach. Its stack pairs edge AI tooling (CUDA, TensorRT, Jetson, PyTorch, ONNX Runtime) with autopilot frameworks it is actively adopting (PX4, ROS 2), pointing to onboard autonomy as a core build. Accelerating, engineering-heavy hiring alongside manufacturing roles tracks with projects in line automation and solid rocket motor industrialization.
Mach Industries is a privately held defense manufacturer headquartered in Huntington Beach, California, with 201–500 employees. It develops unmanned aerospace and defense systems, including strike aircraft, long-range munitions, high-altitude platforms, counter-drone systems, and propulsion technologies for military use. The company builds key components in-house and runs a decentralized manufacturing network for defense hardware. It also offers propulsion, energetics, testing, and advanced manufacturing capabilities to defense and aerospace customers.
Mach Industries uses C++, Python, Rust, and Go, with CUDA, TensorRT, Jetson, and PyTorch for edge AI, PX4 and ROS 2 for autonomy, and Siemens NX, Teamcenter, SolidWorks, and Altium Designer for hardware design.
Yes. Hiring is accelerating and heavily weighted toward engineering, with additional demand in manufacturing and operations, across mid and senior levels in the United States.
Current work includes next-generation defense platforms, autonomous platform software, simulation and testing infrastructure, automated manufacturing lines, and industrializing solid rocket motor production.
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Mach 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.