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 horizon to manage supply risk and improve business opportunities.
Role type
Senior IC mathematical optimization modeler (supply chain)
Builds
Production linear programming and mixed-integer programming models for hardware supply chain planning
Domain
Semiconductor supply chain / AI infrastructure / Operations Research
Deliverable
production ML models
Required skills
Linear programming, Mixed-integer programming, Dual-variable analysis, Constrained optimization, Scientific computing, Supply chain modeling, Mathematical formulation, Solver behavior analysis, Data lineage management
Preferred skills
GPU-accelerated optimization, NVIDIA cuOpt, Semiconductor manufacturing knowledge, INFORMS/IISE publications, Advanced LP/MIP solvers (Gurobi, CPLEX)
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 shadow prices and sensitivities to provide actionable insights for planning and procurement; Maintain model input integrity and understand data dependencies; Partner with supply chain and engineering teams to quantify constraints and develop scenarios; Serve as a quantitative thought partner to senior leadership; Explore integration of AI/ML with deterministic optimization.
Seniority
Senior, hands-on IC
