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Internship Linear Programming Jobs (NOW HIRING)

Intel

Operations Research Engineer

Folsom, CA · On-site

$149K - $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

Hillsboro, OR · On-site

$149K - $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

$149K - $211K/yr

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

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How much do internship linear programming jobs pay per hour?

As of Jul 13, 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 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 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 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.
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Internship Linear Programming jobs near you
Infographic showing various Internship Linear Programming job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Senior Math Libraries Engineer - Sparse Linear Algebra

Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA

Santa Clara, CA • On-site

$55K - $72K/yr

Full-time

Re-posted 8 hours ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company known for its innovations in AI and high-performance computing. They are seeking a Senior Math Libraries Engineer to design, develop, and optimize numerical sparse linear algebra software for GPU architectures, collaborating with various teams to enhance library quality and performance.
Responsibilities:
• Designing, implementing and optimizing scalable high-performance numerical sparse linear algebra software for existing and future GPU architectures
• Working with library engineers, QA engineers, and interns on topics ranging from sparse BLAS operations to advanced direct and iterative sparse solvers
• Working closely with product management and other internal and external partners to understand feature and performance requirements and contribute to the technical roadmaps of libraries
• Finding and realizing opportunities to improve library quality, performance and maintainability through re-architecting and establishing innovative software development practices
Qualifications:
Required:
• PhD or MSc degree (or equivalent experience) in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field is preferred
• 5+ years of overall experience in developing, debugging and optimizing high-performance sparse linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads, or equivalent technologies
• Strong fundamentals in floating point arithmetic and implementation of sparse linear algebra primitives like matrix-vector and matrix-matrix products
• Experience in developing, maintaining, and testing sparse linear algebra libraries
• Strong collaboration, communication, and documentation habits.
Preferred:
• Good knowledge of CPU and/or GPU hardware architecture and low-level GPU performance optimization
• Familiarity with technologies such as multi-frontal factorizations, iterative solvers, preconditioners, and algebraic multigrid
• Experience with adopting and advancing software development practices such as CI/CD systems and project management tools such as JIRA
• Understanding of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)
• Working experience in a globally distributed and agile organization
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Hours and flexibility

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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