Join NVIDIA, a leader in transforming computer graphics and AI, as a SAP Master Data Engineer. This role is crucial for our Enterprise Data Management team, serving as the bridge between business processes and technical data architecture. You'll ensure the integrity, governance, and optimization of vital supply chain and production data, with a focus on the complexities of the semiconductor industry. If you're driven by innovation and desire to make a lasting impact, this is your opportunity.

Spearhead the functional design and governance for key supply chain data domains, including Material Master, BOM, ECN, Routing, and Production Versions. Manage seamless integration between SAP PLM and core ERP (MM/PP) for accurate transition of engineering designs to manufacturing master data. Develop in-depth understanding of the chip supply chain, from part creation to data foundation for AI initiatives. Design and implement automated solutions for the 'Part Creation' lifecycle to enhance efficiency and accelerate time-to-market. Collaborate with business leaders to align planning requirements with master data support, optimizing structures for advanced planning systems. Define and support custom SAP objects for unique manufacturing or supply chain needs. Translate complex semiconductor requirements into scalable, governed data solutions and liaise across business, data, and technology teams. Contribute to data migration and validation for S/4HANA transitions.

Requires a minimum of 8 years of SAP experience, with a strong focus on Production Planning, Manufacturing, and Material Management, including PLM integration. Possess a deep understanding of maintaining complex, high-volume master data objects. At least one SAP S/4 HANA implementation experience in Materials Management, Production Planning, or Manufacturing is essential. Familiarity with SAP Fiori/UI5 for master data maintenance apps is needed. Proficiency in writing functional specifications and collaborating with ABAP developers, along with hands-on experience in custom enhancements and workflow logic, is required. Experience handling third-party system integrations with SAP via IDocs, BAPIs, and interfaces is necessary. A Bachelor's or Master's degree in a relevant field or equivalent experience is expected. Familiarity with AI platforms like ChatGPT or Copilot is beneficial.