PDF Solutions sells a data analytics platform and services that help semiconductor makers raise yield and quality. Its stack pairs EDA and lithography tools (Calibre, Synopsys Sentaurus, Cadence, ASML) with a Python scientific layer (NumPy, Pandas, scikit-learn, OpenCV), which reflects deep fab-process expertise alongside ML work. Hiring is accelerating and skews toward senior engineers, with projects in e-beam metrology and AI-based defect classification.
PDF Solutions is a public company headquartered in Santa Clara, California, founded in 1992 and employing 201–500 people. It provides an end-to-end analytics platform and professional services to companies across the semiconductor ecosystem. Engineers and data scientists use it to improve product yield, quality and profitability using data captured during manufacturing. The company hires in the United States, Italy, Canada and the Netherlands, mainly in engineering, with smaller support and sales teams.
PDF Solutions uses EDA and lithography tools such as Calibre, Synopsys Sentaurus, Cadence, KLayout and ASML. Its software and data work runs on Python, C++, Java, C#, scikit-learn, OpenCV, JMP, Spotfire, Tableau and Power BI.
Yes. Hiring is accelerating and is mostly engineering, with a strong tilt toward senior roles. Support and sales hiring is smaller. Openings are in the US, Italy, Canada and the Netherlands.
Current work includes e-beam probe analysis for yield improvement, an electron beam microscope metrology tool, deployment of ML/AI defect classification models, inspection recipe development and its semiconductor analytics platform.
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PDF 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 →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
