# Quantitative Optimization Modeler

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 168,000 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Modeling-Engineer--Supply-Chain-Optimization_JR2025602?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_17da5614-f3c

## Description

NVIDIA is seeking a quantitative optimization modeler to own and extend a production linear programming optimization model. The model determines supply needs, identifies constraints, and allocates capacity across a multi-quarter planning horizon to improve business opportunity while managing supply risk.

Responsibilities:

- Own and extend a production linear programming optimization model

- Translate evolving physical supply chain realities into mathematical formulations

- Analyze shadow prices, sensitivities, and other LP diagnostics to identify the economic impact of supply constraints

- Maintain the integrity of model inputs and assumptions

- Partner with supply chain, procurement, operations, and engineering teams to identify high-value planning decisions

- Serve as a quantitative thought partner to senior supply chain leadership

- Explore opportunities to augment the deterministic optimization foundation with AI, machine learning, and NVIDIA technologies

Requirements:

- Master's degree or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Management Science, or a closely related quantitative subject area

- Minimum of 8 years of experience in a higher education, modeling, engineering, or data science position

- Strong hands-on experience formulating and solving linear programming or mixed-integer programming problems

- Deep understanding of constrained optimization and the mathematical foundations underlying LP/MIP

- Strong scientific computing skills combined with proficiency in mathematical optimization techniques

- Understanding of supply chain modeling concepts

- Ability to translate complex physical or organizational systems into rigorous mathematical formulations

Nice to Have:

- Advanced research or publications in operations research, mathematical optimization, supply chain optimization, prioritization, or related fields

- Deep experience with LP/MIP solvers and mathematical programming environments

- Experience developing optimization models using real-world manufacturing or supply chain data

- Familiarity with NVIDIA cuOpt, GPU-accelerated optimization, or techniques that combine deterministic optimization with AI or machine learning

## Skills

### Required
- linear programming
- mixed-integer programming
- constrained optimization
- mathematical optimization
- supply chain modeling

### Nice to have
- GPU-accelerated optimization
- AI
- machine learning
- NVIDIA cuOpt

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Modeling-Engineer--Supply-Chain-Optimization_JR2025602?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)