NVIDIA
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India · On-site · 8-11 Yrs · Sep 29
Computer Hardware Development · 10000+ Employees · Santa Clara, US
NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. We engineer technology for the da Vincis and Einsteins of our time. Our work in AI and the metaverse is profoundly impacting society and transforming the world’s largest industries. From gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our work is truly unique. Part science. Part art. Completely rewarding. We take on challenges that make a significant difference in the world. Every breakthrough helps shape what comes next.
Hiring: Engineering
What employees say
+ All good and good pay
− No corns, good work life balance
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE1)
they stared with asking about my projects and one dsa question and ended with a riddle ,it was riddle on coins . i was supposed to seperate 10 coins in 2 halves such that 1 pile has all heads up and another pile has all
Difficult difficulty · New Delhi · 496 reports
More interview insightsJob description
Overview
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Responsibilities
- 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.
- 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.
Education
- Familiarity with AI-enabled productivity and data platforms such as ChatGPT, Copilot, Gemini, or Claude to improve automation, data quality, and decision-making.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for SAP MM/PP Master Data Engineer - Enterprise Data Management at NVIDIA?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. NVIDIA may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this SAP MM/PP Master Data Engineer - Enterprise Data Management role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is SAP MM/PP Master Data Engineer - Enterprise Data Management remote or on-site in India?
- This listing is marked on_site with location India. Confirm details on the job description before applying.
- What skills matter for this SAP MM/PP Master Data Engineer - Enterprise Data Management role at NVIDIA?
- This is a mid-level SAP MM/PP Master Data Engineer - Enterprise Data Management role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.