Modeling Engineer, Supply Chain Optimization

NVIDIA is at the center of the AI infrastructure revolution, building the accelerated computing systems that power some of the planet’s most advanced AI factories. Behind those systems is one of the most complex hardware supply chains in the industry. It includes wafers, sophisticated assembly methods, interconnect materials, printed circuit boards, power components, and other capacity-constrained technologies. Our team is developing and operating a proprietary mathematical optimization model that helps determine how much supply NVIDIA needs. It identifies constraints and allocates unusual capacity across a multi-quarter planning horizon to improve business opportunity while managing supply risk. Built on linear programming and dual-variable analysis, the model transforms complex supply constraints into clear, auditable insights. These insights can advise high-level planning, sourcing, vendor coordination, purchasing, and supplier capacity decisions.

We are looking for a deeply quantitative optimization modeler who can take ownership of this production model, extend its mathematical capabilities, and ultimately become the technical authority for its optimization architecture. This is an opportunity for someone who sees supply chain planning fundamentally as a mathematical modeling problem and wants their work to directly influence consequential decisions at the frontier of AI infrastructure. Does this sound like a great new adventure? Then come show us what you've got!

What you’ll be doing:

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