1

Internship Numerical Methods Jobs (NOW HIRING)

Internship

Anaheim, CA · On-site

$15.75 - $21/hr

Interns will assist in researching methods for donor growth and stewardship. Policy & Advocacy: The ... NOTE: Due to the number of applications received, only those selected for an interview will be ...

Strong course work solid Mechanics, Finite Element Analysis, and Numerical methods. * Proficient in ... Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial ...

OR · Hybrid

$100K - $136K/yr

Providing technical leadership and guidance to library engineers, QA engineers, and interns working ... Strong fundamentals in numerical methods such as computational linear algebra, linear system ...

GNC Engineer III

Denver, CO · On-site

$115K - $190K/yr

Internship or project experience in GNC, control systems, or simulation development * Experience with C++ and/or Python for algorithm development, numerical methods, or simulation * Familiarity with ...

GNC Engineer II

Denver, CO · On-site

$90K - $155K/yr

Internship or project experience in GNC, control systems, or simulation development * Experience with C++ and/or Python for algorithm development, numerical methods, or simulation * Familiarity with ...

Internship

Clive, IA

$14.25 - $18.50/hr

... Number, credit card or bank information, etc.) from you via email. The recruiters will not email ... or method without a valid written search agreement in place for this position will be deemed the ...

next page

Showing results 1-20

Internship Numerical Methods information

See salary details

$10

$17

$28

How much do internship numerical methods jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for internship numerical methods in the United States is $17.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.75 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

What are internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.
More about Internship Numerical Methods jobs
What cities are hiring for Internship Numerical Methods jobs? Cities with the most Internship Numerical Methods job openings:
What are the most commonly searched types of Numerical Methods jobs? The most popular types of Numerical Methods jobs are:
What states have the most Internship Numerical Methods jobs? States with the most job openings for Internship Numerical Methods jobs include:
Infographic showing various Internship Numerical Methods job openings in the United States as of May 2026, with employment types broken down into 27% Full Time, and 73% Part Time. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $36,531 per year, or $17.6 per hour.
PhD Software Engineering Intern, Decision Intelligence - Fall 2026

PhD Software Engineering Intern, Decision Intelligence - Fall 2026

Nvidia

Santa Clara, CA

Full-time

Posted 16 days ago


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Are you passionate about decision optimization, genAI, and advanced parallel computing techniques? NVIDIA's cuOpt team is at the forefront of redefining decision-making systems with a GPU-accelerated open-source platform. If you are looking for a place where you can apply your outstanding skills and make a meaningful impact, this is the opportunity for you! Join us to help build the future of decision intelligence.

What you'll be doing:

  • Prototype and develop parallel algorithms for decision optimization problems

  • Performance tuning, optimization, and benchmarking of large-scale parallel numerical software

  • Collaborate with team members to understand software use cases and requirements

What we need to see:

  • Pursuing a PhD degree in Computer Science or a related field

  • Excellent parallel C++ programming, with familiarity in CUDA programming

  • Deep understanding of algorithms and numerical methods fundamentals in operations research and optimization

  • Mathematical programming (linear, quadratic, mixed-integer) and/or fundamentals of heuristics like genetic algorithms and large neighborhood search

  • Ability to work independently and lead your own development effort

Ways to stand out from the crowd:

  • Experience in algorithmic discovery via autoresearch agents and automated code evolution

  • Track record of relevant open-source contributions in optimization, machine learning, or GPU programming

  • Understanding of hardware and system architecture, including CPU/GPU/Memory/Storage, and everything related to performance optimization

  • Proficiency in a scripting language, preferably Python

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Internbenefits.

Applications for this job will be accepted at least until May 26, 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.

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