Modeling Engineer, Supply Chain Optimization
Core
Develop and operate a proprietary mathematical optimization model to determine NVIDIA's supply needs, allocating capacity across a multi-quarter planning horizon to manage supply risk and improve business opportunities.
Role type
Senior IC quantitative optimization modeler (supply chain)
Builds
Production linear programming and mixed-integer programming models for hardware supply chain planning
Domain
Semiconductor/AI infrastructure supply chain optimization
Deliverable
production ML models | production ML models
Required skills
Linear programming formulation, Mixed-integer programming, Dual-variable analysis, Shadow price interpretation, Constrained optimization theory, Scientific computing, Supply chain modeling concepts, Mathematical formulation of physical systems
Preferred skills
GPU-accelerated optimization, NVIDIA cuOpt, AI/ML integration with deterministic optimization, Semiconductor manufacturing knowledge
Technologies
MATLAB, Julia, R, Python, Gurobi, CPLEX, cuOpt
Responsibilities
Own and extend production LP/MIP models including constraint matrices and objective functions; Translate physical supply chain realities (wafer nodes, yields, lead times) into mathematical formulations; Analyze solver diagnostics to provide actionable insights for executive planning; Maintain model input integrity and data lineage; Partner with supply chain and engineering teams to quantify constraints and develop scenarios; Serve as a quantitative thought partner to senior leadership on model architecture evolution.
Seniority
Senior, hands-on IC
