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Internship Linear Programming Jobs (NOW HIRING)

Intel

Operations Research Engineer

Folsom, CA

$128K - $211K/yr

Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ... and specialized internships in manufacturing or operations research environments. Job Type:

Intel

Operations Research Engineer

Phoenix, AZ

$128K - $211K/yr

Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and ... and specialized internships in manufacturing or operations research environments. Job Type:

Carrier

Principal Optimization Engineer

Kingston, GA · On-site

... linear programming and mixed integer/discrete programming respectively. * Methods, tools and ... internships and these Required Qualifications * Master's Degree in Engineering or Sciences * 10+ ...

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How much do internship linear programming jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for internship linear programming in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an internship in linear programming?

An Internship in Linear Programming gives students or recent graduates hands-on experience solving optimization problems using mathematical modeling techniques. Interns typically work with experienced data scientists or operations researchers to develop and implement algorithms that maximize or minimize certain objectives, such as cost, time, or resource allocation. The internship may involve using software tools like MATLAB, Python, or specialized optimization packages, and offers practical exposure to real-world problems in industries like logistics, finance, or engineering.

What types of projects can I expect to work on during an internship focused on linear programming?

As an intern specializing in linear programming, you will likely support projects that involve optimizing processes, resource allocation, or scheduling using mathematical models. Typical tasks may include data collection, formulating linear programming problems, running optimization software, and interpreting results to provide actionable recommendations. You'll often collaborate with data analysts, engineers, or operations teams to tackle real-world business challenges and may have the opportunity to present your findings to stakeholders. This hands-on experience helps build both technical and teamwork skills essential for a future career in operations research or analytics.

What are the key skills and qualifications needed to thrive as an internship in linear programming, and why are they important?

To excel in an Internship Linear Programming role, you need a solid understanding of linear algebra, optimization techniques, and mathematical modeling, often supported by coursework in operations research or applied mathematics. Familiarity with programming languages such as Python, MATLAB, or R, as well as optimization tools like CPLEX or Gurobi, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns interpret results and collaborate with teams. These competencies are crucial for translating complex data into actionable solutions and supporting decision-making processes in real-world business or research environments.

What is the difference between Internship Linear Programming vs Data Analyst Intern?

AspectInternship Linear ProgrammingData Analyst Intern
Required SkillsMathematics, optimization, programmingData analysis, statistics, Excel, SQL
Work EnvironmentTech, consulting, financeBusiness, tech, marketing
Common Employer TypesConsulting firms, tech companiesCorporations, market research firms

Internship Linear Programming focuses on optimization techniques and mathematical modeling, often in technical or consulting settings. Data Analyst Internships emphasize data interpretation, visualization, and statistical analysis. While both roles involve data and problem-solving, they differ in skill sets and industry applications, with Linear Programming internships leaning toward mathematical modeling and Data Analyst internships toward data-driven decision making.

What careers use internship linear programming?

Internship experience in linear programming is valuable in careers such as operations research analyst, supply chain analyst, data analyst, and optimization engineer. These roles involve applying mathematical models and algorithms to improve decision-making, often using tools like MATLAB, R, or Python. Strong analytical skills and knowledge of optimization techniques are essential in these fields.
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Infographic showing various Internship Linear Programming job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Operations Research Engineer

Folsom, CA

Intel
Manufacturing • 10K+ employees
Learn more about Intelexternal

$128K - $211K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

Job description

Job Details:Job Description: Operations Research Engineers design, develop, and apply advanced engineering and mathematical models, including simulation and optimization frameworks, to drive innovative solutions for complex Intel manufacturing and supply chain challenges. They identify and solve highly complex problems across factory performance, production loading, equipment optimization, decision science, and supply and distribution network operations, requiring deep understanding of fabrication (Fab) and assembly/test (A/T) environments combined with comprehensive supply chain expertise. These professionals build, develop, validate, and deploy mathematically-based decision algorithms, heuristics, optimization models, and simulation tools while working collaboratively with business units to identify root causes, define strategic and tactical requirements, and implement appropriate business and technical solutions. They leverage formal technical training, extensive business knowledge, and sound engineering judgment to develop comprehensive solutions that address complex operational challenges and drive measurable improvements in manufacturing efficiency and supply chain performance.Qualifications:

Minimum Qualifications:
Master's degree in Operations Research, Industrial Engineering, Systems Engineering, Management Science, or related technical discipline.
Expertise Areas:

2+ years of experience in/with:
Programming proficiency in C# and experience working with commercial optimization and constraint programming job shop scheduling packages such as ILOG CPLEX, Gurobi, Autosched, and similar platforms.

Database management systems experience including SQL Server and related technologies.

Foundation in Operations Research (OR) methodologies, Linear Programming, Integer Programming, and Constraint Programming techniques.
Preferred Qualifications:
2+ years of hands-on experience in semiconductor manufacturing processes and production scheduling.

Advanced expertise in Discrete Event Simulation, Simulated Annealing, Meta-Heuristics, Evolutionary Algorithms, and related optimization techniques.

Qualifying experience may be obtained through a comprehensive combination of graduate-level research projects, relevant industry experience, and specialized internships in manufacturing or operations research environments.

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Arizona, PhoenixAdditional Locations:US, California, Folsom, US, Oregon, HillsboroPosting 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 TrustN/ABenefits

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: $128,880.00-211,200.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will require an on-site presence. * 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.

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About Intel

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Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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