NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology—and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are seeking a highly motivated and experienced SAP master data (MM/PP) within the Enterprise Data Management Team. You will serve as the strategic link between business processes and technical data architecture. You will be responsible for the integrity, governance, and optimization of critical supply chain and production data objects. This role requires a deep functional understanding of Materials Management (MM) and Production Planning (PP), specifically tailored to the complexities of the semiconductor industry.
What You’ll Be Doing:
- Enterprise Data Architecture: Lead the functional design and governance for critical supply chain data domains, including but not limited to Material Master, BOM, ECN (Engineering Change Management), Routing, Production Versions (PV).
- PLM Integration: Manage the seamless end-to-end integration between SAP PLM and core ERP (MM/PP), ensuring engineering designs transition accurately into manufacturing master data.
- Develop a deep understanding of the end-to-end chip supply chain, including chip family and part creation, PLM system input/output/yield linkage, ECC material master setup and extension and the ontology/knowledge graph foundation supporting EDM’s agentic AI initiatives.
- Process Automation: Design and implement custom workflows and automated solutions for the "Part Creation" lifecycle to reduce manual entry and accelerate time-to-market.
- Integrated Supply & Demand Planning: Partner with business leaders to align Supply & Demand Planning requirements with master data support, ensuring that data structures are optimized for advanced planning systems such as SAP IBP, APO, and Anaplan.
- Custom Object Support: Strong experience in defining and supporting custom SAP objects tailored to specific complex manufacturing or supply chain business requirements.
- Collaborate with different IT and business teams to translate complex supply chain and semiconductor requirements into scalable, governed, and business-aligned data solutions.
- Support master data setup and enhancement requirements arising from business process changes and IT transformation initiatives; contribute to data migration and validation for ECC-to-S/4HANA transitions; and serve as the cross-functional liaison across business, data, and technology teams.
What We Need to See:
- 8+ years of SAP experience with Core focus on the SAP Production Planning, Manufacturing, Material Management, and integration Knowledge with PLM systems.
- Deep understanding of maintenance and governance of complex & high-volume master data objects like Materials, BOMs, Routings, PV, and ECNs.
- At-least 1 SAP S/4 HANA implementation experience in Materials Management, Production Planning and Manufacturing.
- Familiarity with SAP Fiori/UI5 interfaces used in S/4 HANA for master data maintenance apps.
- Proficiency in writing functional specifications and working with ABAP developers
- Hands-on experience developing custom enhancements (User Exits, BAdIs) and workflow logic to trigger automatic data validation and creation.
- Handle third-party system integrations with SAP using IDocs, BAPIs, and Interfaces.
- (Optional/Good-to-have) Use debugging skills to trace issues and collaborate with technical teams.
- Experience with data governance tools like SAP MDG/ Informatica (Preferred)
- Education: Bachelor’s or master’s degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience in enterprise data architecture and data platform implementations.
- Familiarity with AI-enabled productivity and data platforms such as ChatGPT, Copilot, Gemini, or Claude to improve automation, data quality, and decision-making.
NVIDIA is recognized as one of the technology world’s most sought-after employers. Our workforce includes some of the most innovative and dedicated individuals globally. If you're imaginative, driven to reach objectives, and enjoy a lively work environment, then why wait? Apply today!
Known as one of the most attractive employers in the tech industry, NVIDIA offers attractive salaries and an extensive benefits package. When planning your future, explore the opportunities accessible to both you and those close to you at www.nvidiabenefits.com/
Skills Required
- 8+ years of SAP experience focused on Production Planning, Manufacturing, Materials Management, and PLM integration
- Deep experience governing high-volume master data objects, including materials, BOMs, routings, production versions, and engineering change notices
- At least one SAP S/4HANA implementation in Materials Management, Production Planning, and Manufacturing
- Familiarity with SAP Fiori and UI5 master data maintenance interfaces
- Proficiency writing functional specifications and collaborating with ABAP developers
- Hands-on experience with User Exits, BAdIs, and workflow logic for automated validation and data creation
- Experience integrating third-party systems with SAP using IDocs, BAPIs, and interfaces
- Bachelor's or master's degree in Computer Science, Information Systems, Data Engineering, Industrial Engineering, or equivalent experience
- Experience with SAP MDG or Informatica data governance tools
- SAP debugging experience for issue tracing and technical collaboration
- Familiarity with AI productivity and data platforms such as ChatGPT, Copilot, Gemini, or Claude
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
