Military vehicle manufacturer scaling production and supply chain operations
Oshkosh Defense manufactures heavy, medium, and light tactical vehicles for defense customers using a traditional manufacturing stack (CATIA, CREO, Windchill, Rockwell/Siemens PLCs, Ignition SCADA). Their active project portfolio—CBM implementation, supply chain optimization, supplier readiness, SCADA/MES for assembly—reveals a push toward predictive maintenance and production automation. Engineering hiring dominates (24 of 50 active roles), paired with logistics and supply-chain focus, matching the operational challenge of scaling vehicle assembly while reducing maintenance impact and equipment downtime.
Oshkosh Defense is a publicly traded manufacturer of military vehicles and mobility systems, headquartered in Wisconsin with over 10,000 employees. The company designs, produces, and sustains heavy, medium, light, and highly protected tactical vehicles, plus airport rescue and firefighting platforms, supported by a global supply network and life-cycle sustainment services. Current operations center on assembly optimization (including SCADA/MES deployment at the Spartanburg NGDV facility), supplier performance improvement, and reliability engineering. Pain points center on production scheduling, equipment downtime, parts quality, and process standardization—typical constraints for a high-volume, mission-critical manufacturing operation.
Design and CAD: CATIA, CREO, Windchill. Manufacturing control: Rockwell and Siemens PLCs, Ignition SCADA, OPC UA, MQTT. Backend: JD Edwards, AWS, Windows Server. Development: Python, Java, C, C++, SQL, GitHub.
Yes. 24 of 50 active roles are engineering (posted steady over 30 days). Seniority mix: 18 senior, 11 junior, 10 mid-level, plus 1 principal and 1 lead. All roles posted in the United States.
Active projects include CBM (condition-based maintenance) implementation, supply chain optimization, supplier readiness programs, SCADA/MES applications for assembly facilities, Kaizen events, and value stream mapping to reduce downtime and process waste.
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