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Math Internships Jobs (NOW HIRING)

LA Promise Fund

Math Teacher

South Gate, CA

$47K - $62K/yr

POSITION SUMMARY The Mathematics teacher will engage learners through rigorous, standards-based ... Possession of a valid internship, preliminary, or clear California Single Subject teaching ...

LA Promise Fund

Math Teacher

South Gate, CA · On-site

$47K - $62K/yr

POSITION SUMMARY The Mathematics teacher will engage learners through rigorous, standards-based ... Possession of a valid internship, preliminary, or clear California Single Subject teaching ...

LA Promise Fund

Math Teacher

South Gate, CA · On-site

$61K/yr

POSITION SUMMARY The Mathematics teacher will engage learners through rigorous, standards-based ... Possession of a valid internship, preliminary, or clear California Single Subject teaching ...

Outlier

Math Expertise for AI Training

Outlier is seeking Mathematics experts to refine the logical reasoning and problem-solving ... Because this is a freelance opportunity, we do not offer internships, sponsorship, or employment.

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$22.5K

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How much do math internships jobs pay per year?

As of Aug 20, 2026, the average yearly pay for math internships in the United States is $58,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $70,000.00 per year, depending on experience, location, and employer.

What are math internships?

Math internships are temporary positions, usually for students or recent graduates, that provide hands-on experience in applying mathematical concepts and skills in real-world settings. These internships can be found in various industries such as finance, technology, data analysis, engineering, and research. Interns typically work on projects involving data analysis, mathematical modeling, or problem-solving, and they gain valuable professional experience and networking opportunities. Math internships help bridge the gap between academic studies and professional careers, making them a great way to build practical skills and enhance a resume.

What types of projects or tasks are typically assigned to math interns during their internship?

Math interns often assist with data analysis, statistical modeling, or research to support ongoing projects within their team. Depending on the organization, you might work on real-world problems such as optimizing business processes, analyzing large datasets, or developing algorithms. Collaboration with professionals from other departments, such as engineering or finance, is common, providing exposure to practical applications of mathematical concepts. These projects help interns build both technical and soft skills while gaining hands-on experience relevant to their future careers.

What are the key skills and qualifications needed to thrive in a math internship, and why are they important?

To thrive in a Math Internship, you generally need a solid understanding of mathematical concepts, analytical thinking, and coursework in mathematics or a related field. Familiarity with statistical software, programming languages such as Python or R, and tools like Excel is often expected. Strong problem-solving abilities, effective communication, and willingness to learn are standout soft skills for this position. These skills are crucial for successfully contributing to projects, communicating findings, and developing practical experience in a professional setting.

What is the difference between Math Internships vs Data Analyst Internships?

AspectMath InternshipsData Analyst Internships
Required CredentialsMathematics coursework, quantitative skillsStatistics, data analysis, programming skills
Work EnvironmentResearch labs, educational institutions, financeBusiness, tech companies, consulting firms
Employer & Industry UsageAcademic, research, finance, governmentCorporate, tech, marketing, finance
Common Search & ComparisonYesYes

Math Internships focus on applying mathematical theories and problem-solving skills, often in research or academic settings. Data Analyst Internships emphasize data collection, analysis, and visualization in business environments. While both roles require quantitative skills, Math Internships are more theoretical, whereas Data Analyst Internships are more practical and business-oriented.

What cities are hiring for Math Internships jobs?

Cities with the most Math Internships job openings:

What states have the most Math Internships jobs?

States with the most job openings for Math Internships jobs include:

Math Internships jobs near you
Infographic showing various Math Internships job openings in the United States as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, and 3% Remote job distribution, with an average salary of $58,837 per year, or $28.3 per hour.

Senior Math Libraries Engineer - Sparse Linear Algebra

NVIDIA

Santa Clara, CA • On-site

$55K - $72K/yr

Full-time

Re-posted 7 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 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.

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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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