Industrial immersion heaters, process controls and power supplies manufacturer
Process Technology builds electric heaters, temperature and level controls, and power supplies for semiconductor, industrial and surface finishing processes. Its stack pairs SolidWorks, Altium and Mastercam with embedded tooling (C++, RTOS, Microchip, NXP, Modbus), and projects center on AC-DC and DC-DC conversion firmware, a sign of a shift toward smarter power electronics. Hiring is manufacturing-heavy, with ERP data integrity and delivery delays as recurring pains.
Process Technology is a privately held manufacturer headquartered in Willoughby, Ohio, founded in 1978. It designs and produces electric immersion heaters, inline chemical and solvent heaters, heat exchangers, deionized and ultra-pure water heaters, temperature and level controls, and power supplies and rectifiers. Customers include semiconductor, industrial and surface finishing operations. The company employs 201-500 people and holds ISO 9001:2015 certification with design. Business systems include SAP, Oracle, Infor Syteline and UKG.
Process Technology uses SolidWorks, SolidWorks PDM, Inventor, AutoCAD, Mastercam, Altium Designer, KiCad and OrCAD, plus C++, Python, MATLAB, RTOS, Microchip and NXP, alongside SAP, Oracle, Infor Syteline and UKG.
Current work includes advanced power supply development, control algorithms for AC-DC and DC-DC conversion, embedded firmware for power supply control and communication, electronic circuit design, and prototype testing.
Process Technology is headquartered in Willoughby, Ohio, United States, and hires in the US, mostly across manufacturing, engineering and operations roles.
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Process Technology'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.