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Applied Math Internships Jobs in California (NOW HIRING)

Agentic AI Engineer

Santa Clara, CA · On-site

$135K - $162K/yr

... Applied Math, or related field. • Strong Python programming skills (experience with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch). • Academic or internship experience in ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

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Applied Math Internships information

What are the key skills and qualifications needed to thrive in Applied Math Internships, 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 are applied math internships?

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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What job categories do people searching Applied Math Internships jobs in California look for? The top searched job categories for Applied Math Internships jobs in California are:
What cities in California are hiring for Applied Math Internships jobs? Cities in California with the most Applied Math Internships job openings:
Infographic showing various Applied Math Internships job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Math Libraries Engineer - AI and HPC

Senior Math Libraries Engineer - AI and HPC

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 20 days ago


Job description

Job Summary:
NVIDIA is a leading technology company seeking a Senior Math Libraries Engineer to join their Math Libraries team. The role involves developing high-quality numerical dense linear algebra software on GPUs, providing technical leadership, and collaborating with product management to understand feature requirements.
Responsibilities:
• 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.
Qualifications:
Required:
• 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
Preferred:
• 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.
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