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Applied Math Internships Jobs (NOW HIRING)

Nvidia

$104K - $143K/yr

... interns. * Working closely with product management and other internal and external customers to ... PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or ...

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How much do applied math internships jobs pay per year?

As of Aug 15, 2026, the average yearly pay for applied 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 the key skills and qualifications needed to thrive in an applied math internship, and why are they important?

To thrive in Applied Math Internships, you need strong mathematical reasoning, problem-solving abilities, and coursework in calculus, linear algebra, and statistics. Familiarity with programming languages like Python, MATLAB, or R, as well as data analysis tools, is often required. Effective communication, collaboration, and adaptability help interns present findings and work within interdisciplinary teams. These skills and qualities are essential for translating mathematical theory into practical solutions and contributing effectively to research or business projects.

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

AspectApplied Math InternshipsData Analyst Internships
Required CredentialsMathematics, statistics, or related degrees; programming skillsStatistics, data analysis, programming, often with business focus
Work EnvironmentResearch labs, tech companies, finance, academiaBusiness, finance, marketing, tech firms
Employer & Industry UsageResearch institutions, tech companies, finance firmsCorporations, consulting firms, marketing agencies
Common Search & Comparison IntentUnderstanding internship roles in applied mathExploring data analysis internship opportunities

Applied Math Internships focus on mathematical modeling, algorithm development, and research, often in academic or research settings. Data Analyst Internships emphasize data interpretation, visualization, and business insights, typically within corporate environments. While both roles require analytical skills and programming knowledge, they serve different industry needs and career paths.

What types of projects can I expect to work on during an applied math internship?

As an Applied Math intern, you’ll typically work on real-world problems that require mathematical modeling, data analysis, and algorithm development. Projects may include optimizing business processes, analyzing large datasets, or developing simulations for engineering or financial applications. Interns often collaborate with interdisciplinary teams that include data scientists, engineers, and business analysts, giving you exposure to practical applications of mathematical theories. This hands-on experience helps build both technical and communication skills, which are valuable for future career growth.

What is an applied math internship?

Applied math internships are short-term opportunities for students or recent graduates to gain practical experience using mathematical theories and methods to solve real-world problems in various industries. These internships often involve working on projects related to data analysis, modeling, optimization, or statistical research. They provide valuable hands-on experience, help build professional networks, and can be a stepping stone to a full-time career in fields like finance, technology, engineering, or research. Interns typically collaborate with professionals, learn new software tools, and apply classroom knowledge to practical challenges.
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Applied Math Internships jobs near you
Infographic showing various Applied 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 - AI and HPC

Nvidia

On-site, Remote

$104K - $143K/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 244 rated software companies

Job description

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the area of kernel generation for AI and HPC, specifically targeting matrix operations, JITing and fusions. Around the world, leading commercial and academic organizations are revolutionizing AI, scientific and engineering simulations, and data analytics, using data centers powered by GPUs. Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles and countless others. Did you know our team develops the GPU accelerated mathematical libraries that makes all of this possible?

What you will be doing:

  • Scoping, designing, and implementing high quality and performance numerical dense linear algebra software on GPUs.

  • Owning the execution of projects involving multiple engineers and sometimes teams.

  • Providing technical leadership and feedback to library engineers working with you on projects and sometimes mentor interns.

  • Working closely with product management and other internal and external customers to understand feature and performance requirements and contribute to the technical roadmaps of libraries.

  • Finding opportunities to improve library performance and reduce code maintenance overhead through re-architecting.

  • To be successful in your responsibilities which are by nature sophisticated, you will need to find and explain complex solutions, exercise leadership, and coordinate with multiple teams to work towards your goals.

What we need to see:

  • PhD, Master's, or Bachelor's degree in Computer Science, Applied Math, or related science or engineering field of study (or equivalent experience).

  • 8+ years of experience in designing, developing, testing, maintenance, and performance optimization of HPC software using C++.

  • Strong fundamentals in kernel generation and composable library design for linear algebra.

  • Leadership skills in driving software development projects.

  • Strong collaboration, communication, and documentation habits.

  • Kernel generation. JIT focus/experience desired

Ways to stand out from the crowd:

  • Experience with parallel programming, ideally using CUDA, MPI, OpenMP, OpenACC, pthreads.

  • Good understanding of Machine Learning and Deep Learning technologies as well as knowledge of GPU (preferred) or CPU hardware architecture.

  • Experience with low level programming using assembly for performance optimization and operator fusion is a huge plus.

  • Experience with agile software development practices using project management tools such as JIRA.

  • A scripting language, preferably Python.

With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous GenAI Engineer, who loves challenges? Do you have a genuine passion for advancing the state of AI & machine learning across a variety of industries? If so, we want to hear from you.

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 April 12, 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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