Industrial sensors and automation equipment for factory and process control
Pepperl+Fuchs manufactures electronic sensors, control interfaces, and safety systems for industrial automation across factory and process environments. The company is scaling engineering (37 active roles) and sales (33) simultaneously while managing manufacturing and logistics operations, with active product development across optical sensors and photoelectric designs—typical of a hardware vendor expanding its portfolio while addressing order-to-cash delays and cross-selling gaps.
Notable leadership hires: HR Director, Software Development Lead, Technical Sales Support Lead
Pepperl+Fuchs is a German industrial automation manufacturer founded in 1945, headquartered in Mannheim. The company operates across two core business lines: Factory Automation (inductive, capacitive, photoelectric, and ultrasonic sensors; ID systems; AS-Interface; encoders; zone scanners) and Process Automation (point-to-point and bus-to-bus connectivity, level sensing, corrosion monitoring, power supplies, industrial PCs, interface panels, barcode scanning). Their customer base spans material handling, packaging, automotive, metal forming, chemicals, petrochemicals, oil & gas, and wastewater treatment. With 5,001–10,000 employees globally, they operate manufacturing and logistics alongside R&D, with hiring acceleration across 11 countries including Malaysia, Vietnam, Singapore, and Brazil alongside core markets in Germany and North America.
Engineering-focused: OrCAD, PSPICE, C/C++, Python, Visual Studio, AutoCAD; industrial automation: Allen-Bradley, Siemens, FANUC, IO-Link, HMI; enterprise: Workday, Azure DevOps, Tableau, Siebel CRM; legacy: Microsoft Access, Visual Basic.
Active projects include optical sensor development, photoelectric sensor design, new product introduction phases, and product engineering process (PEP) standardization. Focus areas include factory automation data communication and APAC market expansion.
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Pepperl+Fuchs Group'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 →
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