Industrial machinery and advanced materials manufacturer with AI-powered cost optimization
Doosan is a 127-year-old diversified manufacturer spanning clean energy, smart machines, and advanced materials, now adopting vector databases (FAISS, Pinecone, Milvus) and RAG systems while maintaining a legacy Oracle + Salesforce stack. The hiring mix—heavily weighted toward interns (27 of 38 roles) across engineering and data—alongside active projects in prototype validation and cost-model development suggests a push to scale internal AI capabilities for pricing strategy and supply-chain optimization, areas where their pain-point list is concentrated.
Doosan manufactures industrial machinery, energy systems, and materials for global infrastructure, industrial, and defense markets. The company operates across three business units: Clean Energy (power generation and fuel-cell systems), Smart Machines (construction and industrial equipment), and Advanced Materials (specialty compounds and components). With 10,000+ employees headquartered in Seoul and growing headcount in the US and Mexico, Doosan runs engineering-intensive operations—design validation, prototype build, and cost modeling—supported by enterprise software (Oracle, Salesforce, Power BI) and increasingly by modern ML tooling. Current focus areas include supply-chain cost reduction, freight optimization, and product-quality assurance.
Doosan uses Oracle, Salesforce, Power BI, and Microsoft Office for enterprise operations; C/C++, C#, Python, Qt, and MATLAB for engineering; Docker and AWS for infrastructure; Creo for CAD. Recently adopting vector DBs (FAISS, Pinecone, Milvus) and RAG for AI applications.
Doosan is actively hiring in the United States and Mexico, with headquarters in Seoul, South Korea.
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