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Cfd Internship Jobs in Edison, NJ (NOW HIRING)

Cfd Internship information

See Edison, NJ salary details

$9

$17

$24

How much do cfd internship jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for cfd internship in Edison, NJ is $17.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.90 per hour, depending on experience, location, and employer.

What kinds of projects or tasks can I expect to work on during a CFD internship?

As a CFD intern, you can expect to assist with setting up and running computational fluid dynamics simulations, analyzing simulation data, and contributing to technical reports or presentations. Interns often support senior engineers on real-world industry projects, such as aerodynamic design, thermal management, or process optimization. You’ll likely use specialized simulation software and work as part of a multidisciplinary team, participating in team meetings and project reviews. This hands-on experience helps you build practical skills and exposes you to various aspects of engineering problem-solving.

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

A Cfd Internship requires a solid background in fluid mechanics, thermodynamics, and numerical methods, typically supported by coursework in mechanical or aerospace engineering. Competence in using simulation software such as ANSYS Fluent, OpenFOAM, or COMSOL Multiphysics is highly valued. Strong analytical thinking, attention to detail, and effective communication help interns excel in team environments and present results clearly. These skills are crucial for conducting accurate simulations, interpreting data, and contributing meaningful insights to engineering projects.

What is a CFD internship?

A CFD (Computational Fluid Dynamics) internship involves using simulation software to analyze fluid flow, heat transfer, and related physical phenomena. Interns typically work with engineering teams to develop models, run simulations, and interpret results for real-world applications in industries like aerospace, automotive, and energy. This role helps students gain hands-on experience with CFD tools such as ANSYS Fluent, OpenFOAM, or STAR-CCM+. It also involves validating simulations with experimental data and optimizing designs based on analysis.

What are popular job titles related to Cfd Internship jobs in Edison, NJ?

For Cfd Internship jobs in Edison, NJ, the most frequently searched job titles are:

What cities near Edison, NJ are hiring for Cfd Internship jobs?

Cities near Edison, NJ with the most Cfd Internship job openings:

Senior Math Libraries Engineer - Dense Linear Algebra

Nvidia

New York, NY • On-site, Remote

$110K - $149K/yr

Full-time

Posted 10 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

We are looking for software engineers to join our development efforts in the area of dense linear algebra kernels for high-performance libraries such as cuSOLVER. Around the world, leading commercial and academic organizations are revolutionizing AI, data analytics, and scientific and engineering simulations, using data centers powered by GPUs and high-performance linear algebra libraries. Applications of these technologies include computer aided engineering (CAE), electronic design automation (EDA), quantum chemistry, autonomous vehicles, LLMs, computer vision, encryption, and countless others. Did you know our team develops the GPU accelerated libraries and SDKs that help make these possible?

In this role, you will work together with other developers on designing, developing, and optimizing kernels for various algorithms including triangular factorizations, eigenvalue decompositions and singular value decompositions. Ideal candidates will not only have experience developing accelerated computing kernels, but also be motivated to advance the state-of-the-art in a variety of accelerated computing domains. If this sounds exciting, we would love to meet you!

What you will be doing:

  • Designing, implementing and optimizing scalable high-performance numerical dense linear algebra software on GPUs

  • Providing technical leadership and guidance to library engineers, QA engineers, and interns working with you on projects

  • 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

What we need to see:

  • PhD or MSc degree in Computational Science and Engineering, Computer Science, Applied Mathematics, or related science or engineering field (or equivalent experience)

  • 5+ years of overall experience in developing, debugging and optimizing high-performance numerical linear algebra software using C++ and parallel programming; ideally using CUDA, MPI, OpenMP, OpenACC, pthreads

  • Strong fundamentals in numerical methods such as computational linear algebra, linear system solvers, and methods for eigenvalue, singular value, and other decompositions

  • Experience developing dense linear algebra libraries such as BLAS, LAPACK; and their parallel counterparts like PBLAS and SCALAPACK

  • Strong collaboration, communication, and documentation habits

Ways to stand out from the crowd:

  • Good knowledge of CPU and/or GPU hardware architecture

  • Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA.

  • Experience with working in a globally distributed organization

  • Strong background of large-scale computing technologies such as PDE solvers, eigenvalue solvers and time-domain simulation methods (e.g., CFD, FEA)

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing for science and engineering. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world! Join us at the forefront of technological advancement.

#LI-Hybrid

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 August 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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