Semiconductor inspection, electron microscopy and medical analysis systems maker
Hitachi High-Tech builds precision instruments spanning semiconductor metrology, electron microscopes and clinical testing systems. Its stack pairs embedded tooling (C++, VxWorks, MATLAB/Simulink, ROS) with SAP S/4HANA and PLM, while early adoption of RAG, Gemini and Salesforce Einstein points to AI entering both service and sales workflows. Hiring is overwhelmingly engineering, mid-level and Japan-based, though overall velocity is slowing.
Notable leadership hires: Project Lead, Digital Solution Lead
Hitachi High-Tech Corporation is a Tokyo-headquartered manufacturer founded in 1947, operating with more than 10,000 employees. It supplies products and solutions across semiconductors, healthcare, the environment, materials and industrial and social infrastructure. Core business areas include electronic device systems, life sciences, information systems and electronic components, and advanced industrial products. Customers include semiconductor fabs needing inspection and measurement equipment and healthcare providers running sample testing and radiotherapy planning workflows.
Hitachi High-Tech uses C++, C#, Python, VxWorks, MATLAB, Simulink and ROS for device software, plus React, Django, AWS, Azure, Kubernetes, SAP S/4HANA, PLM, Tableau and Power BI.
Active work includes next-generation inspection devices, CD-SEM measurement systems, electron microscope application software, optical inspection equipment, electron beam control and sample test automation.
Current hiring is concentrated in Japan, led by engineering, with smaller needs in sales, healthcare, quality and design. The company is headquartered in Minato-ku, Tokyo.
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Hitachi High-Tech 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.