Modeling Engineer, Supply Chain Optimization

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 168,000 - 322,000 annuallyFunction: Supply Chain & LogisticsExperience: 8+ yearsEducation: mastersSkills: ["Ownership","Collaboration","Communication","Analytical thinking"]

Develop and own a production linear programming optimization model to support semiconductor and hardware supply chain planning. Build constraint matrices, objective functions, and dual-variable diagnostics, translating complex wafer/package and capacity realities into solvable mathematical formulations. Analyze shadow prices and sensitivities to generate auditable, actionable insights for executive planning, procurement, and supplier discussions, while exploring AI/ML and GPU-accelerated optimization using NVIDIA technologies like cuOpt.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Modeling Engineer, Supply Chain Optimization

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Job Summary

Develop and own a production linear programming optimization model to support semiconductor and hardware supply chain planning. Build constraint matrices, objective functions, and dual-variable diagnostics, translating complex wafer/package and capacity realities into solvable mathematical formulations. Analyze shadow prices and sensitivities to generate auditable, actionable insights for executive planning, procurement, and supplier discussions, while exploring AI/ML and GPU-accelerated optimization using NVIDIA technologies like cuOpt.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics

Key Responsibilities

  • •Own and extend a production linear programming optimization model, including constraint matrices, objective functions, dual-variable extraction logic, and diagnostics.
  • •Translate evolving physical supply chain realities (wafer nodes, packaging architectures, component categories, capacity limits, yields, lead times) into mathematical formulations for the optimization engine.
  • •Analyze shadow prices, sensitivities, and other LP diagnostics to quantify economic impact and convert results into actionable planning, procurement, and supplier insights.
  • •Maintain integrity of model inputs and assumptions, including data lineage, schemas, dependencies, and impacts of changes.
  • •Partner with supply chain, procurement, operations, and engineering teams to identify high-value decisions, stress-test assumptions, and develop scenarios; act as a quantitative thought partner to senior leadership.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually

Key Requirements

  • •Master’s degree or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Management Science, or a closely related quantitative field, or equivalent experience.
  • •Minimum 8 years of experience in a higher education, modeling, engineering, or data science position.
  • •Hands-on experience formulating and solving linear programming or mixed-integer programming problems, including building objective functions/constraints and extracting/interpreting dual variables.
  • •Deep understanding of constrained optimization foundations (duality, shadow prices, sensitivity analysis, degeneracy, numerical conditioning, solver behavior).
  • •Proficiency implementing optimization models in MATLAB, Julia, R, Python, or comparable environments, and strong supply chain modeling knowledge (BOMs, capacity constraints, lead times, yields, multi-period planning).
Experience:8+ yearsSupply chainSemiconductorOperations researchOptimizationAI infrastructure
Education:Master's in Operations Research, Industrial Engineering, Applied Mathematics, Management Science (or closely related quantitative subject)
Skills:OwnershipCollaborationCommunicationAnalytical thinking
Tech Stack:Linear programmingMixed-integer programmingMATLABJuliaRPythonMATLAB Optimization ToolboxGurobiCPLEXGPU-accelerated optimizationCuOptAIMachine learning

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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