CLAAS manufactures harvesters, tractors, and farming equipment deployed across 140 countries, with 12,000 employees generating €4.9B in annual revenue. The tech stack reveals a dual engineering culture: legacy industrial control (C, C++, CAN, MATLAB/Simulink, CATIA for CAD) paired with modern ML/vision pipelines (TensorFlow, PyTorch, scikit-learn, OpenCV), suggesting active digitization of harvester autonomy and sensor processing. Heavy intern hiring (156 roles) combined with research and engineering teams signals investment in next-generation product platforms.
Notable leadership hires: Material Management Head, Head of Training Development
CLAAS is a family-owned agricultural machinery manufacturer headquartered in Harsewinkel, Germany. The company designs and manufactures combine harvesters, forage harvesters, tractors, bailers, and loaders used by farming operations worldwide. Beyond physical equipment, CLAAS develops digital solutions and smart-farming technologies integrated into its product line. The organization spans manufacturing, field testing, dealer networks, spare parts logistics, and customer support across 12 countries, with active hiring concentrated in Germany, North America, and Central Europe.
CLAAS uses legacy industrial control languages (C, C++, MATLAB, Simulink) for harvester and tractor systems, alongside modern ML tools (TensorFlow, PyTorch, scikit-learn, OpenCV) for sensor and automation development. Enterprise systems run on SAP and SAP R/3; front-end development uses JavaScript, TypeScript, and C#.
CLAAS recruits across 12 countries: Germany, Canada, United States, Argentina, Austria, France, Romania, Netherlands, Italy, Poland, United Kingdom, and Hungary. Germany and North America represent the primary hiring regions.
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