Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
CUDA @ 6
Data Analysis @ 6
GPU @ 6
GenAI @ 3
LLM
Leadership @ 6
Machine Learning
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's Supply Chain Information Technology team is hiring a Senior Business Systems Analyst, SAP IBP. This position involves creating advanced planning tools, analyzing data, and building optimization models for strategic and tactical supply chain planning. It also requires supporting current SAP IBP and APO planning systems. The role is located at NVIDIA headquarters in Santa Clara, California.
Responsibilities
- Architect, build, and deliver scalable, implementable solutions for complex supply chain requirements using SAP IBP Response & Supply and Demand Planning modules.
- Demonstrate process improvement techniques to streamline business processes and architect solutions.
- Manage projects to roll out new and refine existing functionality implemented at NVIDIA within SAP IBP planning modules.
- Build prototypes and proofs of concept for business requirements and translate them into effective operational solutions.
- Build end-to-end supply chain planning processes covering materials planning, supply planning, constrained planning, deployment, replenishment, and service parts planning.
- Build business and product scenarios to help the business unit improve NVIDIA's profitability and market share.
- Influence senior business leadership to adopt scalable solutions and systems and tools.
Requirements
- Bachelor's or master's degree, or equivalent experience, in Information Systems, Computer Science, or Business.
- 12+ years of relevant experience architecting, crafting, and implementing comprehensive supply chain planning solutions using advanced planning tools.
- Consistent record of using data analysis, planning models, and business process expertise to deliver measurable business results.
- Knowledge of integration tools such as SAP CPI, CI-DS, RTI, OData, APIs, or other middleware.
- Deep knowledge of materials planning, inventory planning, supply planning, and replenishment processes.
- Experience with service parts planning, aftermarket forecasting, spare parts restocking, irregular demand, substitution, supersession, and service-level planning.
- Experience setting up SAP IBP planning areas, key figures, master data, planning operators, alerts, dashboards, and Excel planning views.
- Strong SAP S/4HANA or ECC integration knowledge, especially across MM, PP, SD, and EWM.
- Understanding of supply chain planning in the semiconductor industry is advantageous.
- Experience in supply chain AI, automation, analytics, or AI-powered planning workflows is advantageous.
Additional Qualifications
- Background with NVIDIA CUDA optimization or GPU-accelerated AI/ML workloads.
- Familiarity with LLMs, GenAI, SAP BTP, SAP Build Process Automation, or SAP AI services.
Compensation and Benefits
- Level 5 base salary: USD 168,000–270,250 per year.
- Level 6 base salary: USD 196,000–310,500 per year.
- Eligible for equity and benefits.
- Applications accepted at least until June 28, 2026.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
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