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Internship Linear Programming information

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.

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 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 are the most commonly searched types of Linear Programming jobs in California? The most popular types of Linear Programming jobs in California are:
What are popular job titles related to Internship Linear Programming jobs in California? For Internship Linear Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Linear Programming jobs in California look for? The top searched job categories for Internship Linear Programming jobs in California are:
What cities in California are hiring for Internship Linear Programming jobs? Cities in California with the most Internship Linear Programming job openings:
Internship Linear Programming jobs near you
Infographic showing various Internship Linear Programming job openings in California as of May 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Temporary. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.
Senior Math Libraries Engineer - Dense Linear Algebra

Senior Math Libraries Engineer - Dense Linear Algebra

Nvidia

Santa Clara, CA • Hybrid

$118K - $160.30K/yr

Full-time

Posted 19 days ago

Job description

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include computer aided engineering (CAE), electronic design automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?

In this role, you will work together with other developers on designing, developing, and optimizing kernels for various algorithms including triangular factorizations, eigenvalue decompositions and singular value decompositions. Ideal candidates will not only have experience developing accelerated computing kernels, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!

What you will be doing:

  • Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs

  • Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects

  • 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

What we need to see:

  • PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)

  • 5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads

  • Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions

  • Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK

  • Strong collaboration, communication, and documentation habits

Ways to stand out from the crowd:

  • Good knowledge of CPU and/or GPU hardware architecture

  • Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.

  • Experience with working in a globally distributed organization

  • Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

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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