Operations Research, Engineering Analytics Graduate Intern

United States·Phoenixentry

OtherResearch

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Requirements Summary

Minimum Qualifications: Candidate should be in pursuit of a Master's degree in Industrial engineering or Operations Research Strong background in software development.

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This internship is intended for Industrial Engineering graduate students with a focus on Operations Research, simulation, analytics, and optimization. Interns will apply mathematical modeling, discrete event simulation, statistics, and software development skills to analyze and improve semiconductor manufacturing operations. Projects may include developing and enhancing factory simulation models, building data pipelines and analytics solutions, conducting experiments, and supporting capacity, production, and operational decision making. Successful candidates will demonstrate strong quantitative problem-solving skills, programming experience in Python and SQL, and an interest in modeling complex manufacturing systems.

Requirements

~2 min read

Candidate should be in pursuit of a Master's degree in Industrial engineering or Operations Research
Strong background in software development.
Expected graduation date of Dec '27 or Summer '28 preferred.

Skilled in Discrete-Event Predictive Modeling and Digital Twin Manufacturing Simulations
Experienced in Oracle PL/SQL, Python, R, and Applied Statistics
Strong Analytics and ML experience - Regression, Clustering, Neural networks (feedforward, CNN, RNN, LSTM), Classification, Transformer models and attention mechanisms
LangChain framework for building LLM applications and agent workflows
Model fine-tuning techniques (LoRA, QLoRA, full fine-tuning, PEFT)
Experienced in Data analysis, data visualization, Statistical analysis, Time Series analysis
Production Planning and Manufacturing Automation experience is a plus
Optimization CPLEX, Linear and Mixed integer programming is a plus
3.0 GPA

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.