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Math Internship Jobs in Santa Clara, CA (NOW HIRING)

KIPP Nor Cal Schools

*Math Teacher (26-27)

Redwood City, CA · On-site

$57.50K - $75.30K/yr

Be eligible for a General Education Limited Assignment Permit, Provisional Internship Permit, or ... math problems, memorize and recall objects and people. Environmental: School and classroom ...

KIPP Nor Cal Schools

*Math Teacher (26-27)

San Jose, CA · On-site

$55.10K - $72.10K/yr

Be eligible for a General Education Limited Assignment Permit, Provisional Internship Permit, or ... math problems, memorize and recall objects and people. Environmental: School and classroom ...

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Math Internship information

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How much do math internship jobs pay per hour?

As of May 28, 2026, the average hourly pay for math internship in Santa Clara, CA is $22.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Math Intern, and why are they important?

To thrive as a Math Intern, you need a strong grasp of mathematical concepts, analytical thinking, and problem-solving abilities, often supported by coursework in mathematics or related fields. Familiarity with data analysis tools (like Excel, MATLAB, or Python), and statistical software is typically required. Strong communication, teamwork, and a willingness to learn help you stand out in collaborative, project-based environments. These skills are crucial for effectively contributing to real-world projects, interpreting data, and supporting more experienced professionals in the field.

What types of projects or tasks can I expect to work on during a Math Internship?

As a Math Intern, you'll typically engage in a variety of analytical tasks such as data analysis, statistical modeling, and assisting with research projects. Depending on the organization, you might work on real-world problems like optimizing processes, interpreting large datasets, or supporting ongoing studies with mathematical computations. Interns often collaborate with experienced mathematicians, data analysts, and other team members, which provides valuable opportunities to learn industry-standard tools and methodologies. These experiences help build both technical and professional skills, laying a strong foundation for future career growth.

What is a math internship?

A math internship is a temporary position that allows students or recent graduates to gain practical experience by applying mathematical concepts and skills in a real-world setting. These internships often involve working on projects related to data analysis, research, statistical modeling, or problem solving in industries such as finance, engineering, technology, or academia. Math internships provide valuable opportunities to learn from professionals, build a network, and enhance a resume, all while exploring potential career paths in mathematics.

What is the difference between Math Internship vs Data Analyst?

AspectMath InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in Mathematics, Statistics, or related fieldsBachelor's degree in Mathematics, Statistics, Computer Science, or related fields
Work EnvironmentInternship programs in corporate, research, or academic settingsFull-time roles in corporate, finance, tech, or healthcare industries
Employer & Industry UsageEducational institutions, research labs, companies offering internship programsBusinesses analyzing data to inform decisions, improve processes, or develop products

Math internships are typically short-term, entry-level opportunities for students or recent graduates to gain practical experience in mathematical applications. Data analysts are full-time professionals responsible for interpreting data, creating reports, and supporting business decisions. While both roles require strong math skills, internships focus on learning and exposure, whereas data analyst roles involve ongoing responsibilities in data management and analysis.

What are the most commonly searched types of Math jobs in Santa Clara, CA? The most popular types of Math jobs in Santa Clara, CA are:
What are popular job titles related to Math Internship jobs in Santa Clara, CA? For Math Internship jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Math Internship jobs in Santa Clara, CA look for? The top searched job categories for Math Internship jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Math Internship jobs? Cities near Santa Clara, CA with the most Math Internship job openings:
Math Internship jobs near you
Senior Math Libraries Engineer - Sparse Linear Algebra

Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA

Santa Clara, CA • On-site

$55.20K - $72.20K/yr

Full-time

Posted 13 days ago

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.
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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