Hypersonic aircraft manufacturer for U.S. defense and allied interests
Hermeus designs and builds high-Mach and hypersonic aircraft for the Department of Defense, working directly under the Quarterhorse Program with four purpose-built test vehicles. The stack—MATLAB, ANSYS, NX, SolidWorks, Teamcenter, Docker, Python, C++, plus embedded platforms (Raspberry Pi, Arduino, STM32)—reflects a hardware-heavy, simulation-first approach to iterative flight test. Hiring is dominated by engineering (78 roles) with manufacturing (17) and ops (3) backing it up, and pain points cluster around prototype-to-production transition and aggressive build cycles, signaling a company scaling from rapid iteration into sustained production cadence.
Notable leadership hires: Chief Engineer
Hermeus is a Los Angeles–based aerospace manufacturer founded in 2018, focused on high-speed and hypersonic aircraft development. The company operates the Quarterhorse Program, an unmanned flight initiative structured around four incrementally de-risked test vehicles, each targeting a specific technical challenge. Revenue and customer base are narrow—the Department of Defense is the primary buyer—but the operating footprint is substantial: 201–500 employees split heavily toward engineering and manufacturing, with active projects spanning flight vehicle builds, weld qualification, HIL testbeds, avionics simulation, and internal tooling development. The business model is development-stage and program-driven rather than production-at-scale.
Quarterhorse Program unmanned flight vehicle development, including weld qualification campaigns, first-article builds, real-time flight control simulation, HIL testbeds, and airframe iteration toward hypersonic flight.
MATLAB, ANSYS, NX, SolidWorks, Teamcenter for design; Docker, Python, C++, Bash for software; Raspberry Pi, Arduino, STM32 for embedded systems; GitLab, Jira, Confluence for collaboration; AWS for cloud infrastructure.
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Hermeus'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.