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Internship Linear Algebra Jobs (NOW HIRING)

Nvidia

OR · Hybrid

$100.40K - $136.40K/yr

... linear algebra software on GPUs ... Providing technical leadership and guidance to library engineers, QA engineers, and interns working ...

Nvidia

OR · On-site

$47K - $61.40K/yr

Working with library engineers, QA engineers, and interns on topics ranging from sparse BLAS ... Experience in developing , maintaining, and testing sparse linear algebra libraries * Strong ...

Nvidia

OR

$104.40K - $143.40K/yr

Scoping, designing, and implementing high quality and performance numerical dense linear algebra ... interns. * Working closely with product management and other internal and external customers to ...

Apptronik

Simulation Engineer

Austin, TX · On-site

... strong internship or research project experience qualifies) * Strong Python skills * Solid fundamentals: rigid body dynamics, linear algebra, spatial math, programming * Coursework or project ...

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Internship Linear Algebra information

What are the key skills and qualifications needed to thrive as an Internship Linear Algebra, and why are they important?

To thrive in a Linear Algebra internship, you need a solid grasp of linear algebra concepts, mathematical problem-solving abilities, and often enrollment in or completion of a relevant degree program. Familiarity with technical tools such as MATLAB, Python (with libraries like NumPy), or Mathematica, as well as experience with data analysis software, is often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are essential for applying mathematical concepts to real-world problems and contributing meaningfully to research or projects.

What kinds of projects or tasks are typically assigned to interns specializing in Linear Algebra?

Interns focusing on Linear Algebra often work on tasks that involve applying mathematical concepts to real-world problems, such as data analysis, algorithm development, or simulation modeling. You may be asked to assist with optimizing machine learning models, performing matrix computations, or supporting research teams by developing code for numerical experiments. Collaboration with data scientists, engineers, and senior mathematicians is common, providing opportunities to learn from experienced professionals. These experiences give interns valuable exposure to both theoretical and applied aspects of linear algebra in a professional setting.

What is an Internship in Linear Algebra?

An Internship in Linear Algebra is a temporary position, typically for students or recent graduates, that provides hands-on experience applying linear algebra concepts in real-world settings. Interns may work on projects involving data analysis, machine learning, scientific computing, or engineering tasks that require knowledge of vectors, matrices, and linear transformations. These internships help individuals gain practical skills, build their resume, and explore career opportunities in fields that value mathematical and analytical abilities.

What is the difference between Internship Linear Algebra vs Data Analyst?

AspectInternship Linear AlgebraData Analyst
Required CredentialsBasic knowledge of linear algebra, often student or entry-levelDegree in statistics, mathematics, or related field; some certifications
Work EnvironmentAcademic, research labs, or tech companies; project-basedBusiness settings, corporate offices, or consulting firms
Industry UsageResearch, academia, machine learning, data scienceBusiness intelligence, marketing, finance, operations
Search & Comparison IntentUnderstanding entry-level roles involving linear algebra conceptsComparing roles in data analysis and related fields

Internship Linear Algebra typically involves foundational work in linear algebra concepts within academic or research environments, often as a stepping stone for further studies or careers in data science. Data Analysts focus on interpreting data to inform business decisions, requiring additional skills in statistics and data visualization. While both roles involve data and mathematical skills, their work environments and career paths differ significantly.

More about Internship Linear Algebra jobs
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What are the most commonly searched types of Linear Algebra jobs? The most popular types of Linear Algebra jobs are:
What states have the most Internship Linear Algebra jobs? States with the most job openings for Internship Linear Algebra jobs include:
What job categories do people searching Internship Linear Algebra jobs look for? The top searched job categories for Internship Linear Algebra jobs are:
Internship Linear Algebra jobs near you
Infographic showing various Internship Linear Algebra job openings in the United States as of May 2026, with employment types broken down into 52% Full Time, and 48% Part Time. Highlights an 48% Physical, 1% Hybrid, and 51% Remote job distribution.
Senior Math Libraries Engineer - Dense Linear Algebra

Senior Math Libraries Engineer - Dense Linear Algebra

Nvidia

Hybrid

$100.40K - $136.40K/yr

Full-time

Posted 21 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.
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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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