Operations Research, Engineering Analytics Graduate Intern

Intel is hiring an Operations Research, Engineering Analytics Graduate Intern in Phoenix, United States. It pays $133k-$134k a year and Level rates it ; you can apply on Intel.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include LangChain, Python and SQL.
Level classifies it as an internship.
Level lists 826 other open roles at Intel.

AI in this role

Graduate intern applying operations research, optimization, and machine learning to improve semiconductor manufacturing operations.

langchainpythonsqlcplexpytorch

fine-tuningoperations-researchmathematical-modelingsimulationmachine-learningdata-analysis

Job Details:

Job Description:

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.

Qualifications:

Minimum Qualifications:

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.

Preferred Qualifications:

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

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location:

US, Arizona, Phoenix

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $133,498.00-133,502.00 USD

The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Our standard internship rates are based on your degree, location, and the job role. Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.

Work Model for this Role

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.

How we rate this

Operations Research, Engineering Analytics Graduate Intern at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Operations Research, Engineering Analytics Graduate Intern is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $133k-$134k a year.
The role is based in US, Arizona, Phoenix.
The job was posted on September 16, 2026.
Seniority: intern.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningOperations ResearchMathematical ModelingSimulationMachine learningData AnalysisLangChainPython

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
Tell me about a project where operations research was part of your work. What did you do?
Tell me about a project where mathematical modeling was part of your work. What did you do?
Tell me about a project where simulation was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Fine-tuning, Operations Research, Mathematical Modeling, Simulation, and Machine learning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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