X-ray tubes, detectors and imaging components for system manufacturers
Varex Imaging supplies X-ray tubes, flat panel detectors and image processing components to OEMs building medical, security and industrial imaging systems. Its stack pairs engineering simulation and test tools (ANSYS, MATLAB, LabVIEW, Minitab, SolidWorks) with SAP, MES and Siemens, reflecting a hardware manufacturer under regulatory pressure. Engineering-led hiring is accelerating around power systems for charged particle accelerators, a high-energy imaging push.
Varex Imaging Corporation is a public company headquartered in Salt Lake City, Utah, founded in 2017 as a standalone entity, with 1,001–5,000 employees. It designs and manufactures X-ray imaging components, including X-ray tubes, flat panel detectors, high-voltage connectors, ionization chambers, mammography paddles and automatic exposure control systems. Customers are imaging system manufacturers serving medical diagnostics, cargo screening, border security and industrial inspection. The company runs its business on Salesforce, SAP, Workday and MES systems alongside engineering tools such as SolidWorks, AutoCAD and ANSYS.
Varex uses Salesforce, SAP, Workday and MES for operations, SolidWorks, ANSYS, MATLAB and LabVIEW for engineering, and Python, C++, Java, GitLab, Selenium, Cypress and Playwright for software.
Yes. Hiring is accelerating and engineering leads the mix, mostly mid-level roles in the United States, with additional openings in manufacturing, operations and support.
Job posts point to high-power pulsed and continuous-wave systems and power trains for charged particle accelerators, alongside compliance process improvements and regulatory impact assessment.
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Varex Imaging Corporation'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.