Ruggedized embedded computing boards and systems, designed and manufactured in the USA
Extreme Engineering Solutions designs and manufactures military-grade embedded computing hardware—single-board computers, FPGAs, rugged systems—with a tech stack spanning FPGA toolchains (Xilinx, Cadence Allegro), embedded OS (VxWorks), and modern DevOps (Docker, Kubernetes, GitLab CI/CD). The company is actively hiring engineers across board design, manufacturing, and quality roles, while simultaneously investing in CI/CD automation and AI-assisted engineering tools—suggesting a push to reduce manual engineering work and scale production without proportional headcount growth.
Extreme Engineering Solutions manufactures embedded computing hardware for defense, aerospace, communications, and industrial applications. Founded in 2002 and based in Verona, Wisconsin, the company produces single-board computers, mezzanine modules, FPGA products, I/O modules, storage, rugged enclosures, and Ethernet switches—all designed, tested, and manufactured domestically. The product portfolio spans commercial and MIL-STD-qualified variants. X-ES serves organizations requiring custom or COTS embedded solutions with rigorous qualification and support.
X-ES designs and manufactures embedded computing hardware including single-board computers, FPGA modules, mezzanine modules, I/O modules, SSD storage, rugged systems and enclosures, Ethernet switches, and power supplies for military, aerospace, communications, and industrial applications.
X-ES uses FPGA design tools (Xilinx, Cadence Allegro), embedded OS (VxWorks), CPU architectures (x86, ARM), programming languages (C++, Python, Java), simulation and CAD tools (ANSYS, Creo, MATLAB), and DevOps infrastructure (Docker, Kubernetes, Jenkins, GitLab CI/CD).
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Extreme Engineering Solutions'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 →
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