For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass personal computer games, movie production, product design, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people harmonize with technology, and there has never been a more exciting time to join our excellent team. NVIDIA is now passionate about innovation at the intersection of visual processing, high-performance computing, and artificial intelligence.
The 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 / APO planning systems. Candidates must have strong knowledge of supply chain business processes and experience working closely with business customers.
What you’ll be doing:
Architect, build, and deliver scalable, implementable solutions for complex supply chain requirements using SAP IBP Response & Supply, Demand Planning modules.
Demonstrate process improvement techniques to streamline business process and architect solutions.
Manage projects to roll out new and refine existing functionalities currently implemented at NVIDIA within SAP IBP planning modules.
Build prototypes and proof of concepts 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 BU improve NVIDIA's profitability and market share.
Influence senior leadership in business to adopt scalable solutions and systems/tools.
What we need to see:
Bachelors or Master's degree, or equivalent experience in Information Systems, Computer Science, or Business.
12+ years of relevant work 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 in materials planning, inventory planning, supply planning, and replenishment processes.
Experience in 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.
Ways to stand out from the crowd:
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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!
Skills Required
- Bachelor’s or Master’s degree, or equivalent experience, in Information Systems, Computer Science, Business, or a related field.
- 12+ years of relevant experience architecting, crafting, and implementing comprehensive supply chain planning solutions using advanced planning tools.
- Strong supply chain business process knowledge and experience working closely with business customers.
- Experience 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 in service parts planning, aftermarket forecasting, spare parts restocking, irregular demand, substitution, supersession, and service-level planning.
- Experience configuring SAP IBP planning areas, key figures, master data, planning operators, alerts, dashboards, and Excel planning views.
- Strong SAP S/4HANA or ECC integration knowledge across MM, PP, SD, and EWM.
- Understanding of supply chain planning in the semiconductor industry.
- Experience in supply chain AI, automation, analytics, or AI-powered planning workflows.
- 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.
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.
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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.
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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.
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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.”
