PDW builds small unmanned aerial systems (SUAS) for military and government operators. The tech stack reveals a hardware-centric organization: embedded platforms (Raspberry Pi, Arduino, STM32, ESP32), CAD tools (SolidWorks, Altium, Cadence, OrCAD), and MATLAB for control systems. Active adoption of MES and NetSuite alongside aggressive hiring in engineering (19 roles) and manufacturing (5 roles) points to a company simultaneously scaling production capacity and building next-generation autonomous systems — a dual challenge reflected in their pain-point focus on yield, throughput, and test complexity.
PDW designs and manufactures small unmanned aerial systems for U.S. military and government customers. Founded in 2018 and based in Huntsville, Alabama, the company operates across 201–500 employees with engineering-led product development and an expanding manufacturing footprint. Current initiatives span NPI (new product introduction) industrialization, global FMS (Field Maintenance Support) portfolio growth, and flight testing of next-generation autonomous SUAS. The organization is modernizing its digital foundation through MES implementation, AS9100-compliant quality management systems, and production-line automation — core to their stated goal of scaling tactical-level deployment.
Embedded control: MATLAB, Python, C++, Qt/QML. Hardware platforms: Raspberry Pi, Arduino, STM32, ESP32, and custom boards via Altium Designer and Cadence. CAD: SolidWorks, OrCAD. Ops: NetSuite, Jira, GitLab, Asana. Currently adopting MES for production automation.
Flight testing of next-generation autonomous SUAS, NPI industrialization, global FMS portfolio expansion, MES implementation, automated AS9100-compliant quality systems, and production-line automation to address scaling and throughput challenges.
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PDW'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.