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Computational Fluid Dynamics Intern Jobs (NOW HIRING)

Fluid Dynamics Engineer

San Leandro, CA · On-site

$110K - $160K/yr

Build and run high-fidelity Computational Fluid Dynamics models of oil and DI-water flow paths to optimize circulation rates, identify cavitation or turbulence risks, and ensure dielectric integrity ...

Fluid Dynamics Engineer

San Leandro, CA · On-site

$76K - $104K/yr

Build and run high-fidelity Computational Fluid Dynamics models of oil and DI-water flow paths to optimize circulation rates, identify cavitation or turbulence risks, and ensure dielectric integrity ...

Develop, execute, and validate Computational Structural Dynamics (CSD) and Computational Fluid Dynamics (CFD) models to support conventional weapons effects analysis * Perform coupled CFD/CSD ...

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Computational Fluid Dynamics Intern information

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How much do computational fluid dynamics intern jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for computational fluid dynamics intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a computational fluid dynamics intern?

Computational Fluid Dynamics (CFD) Interns are students or recent graduates who assist engineering teams in analyzing and solving fluid flow problems using computer simulations. They work with specialized software to model how liquids and gases behave in various scenarios, such as within engines, pipes, or around aircraft. Under supervision, they may contribute to setting up simulations, interpreting results, and validating findings against real-world data. This role helps interns gain practical experience in CFD tools and techniques, often as part of their education or career development.

What do computational fluid dynamics interns do?

As a Computational Fluid Dynamics (CFD) Intern, you can expect to work on projects that involve supporting simulation studies, setting up and running CFD models, and analyzing fluid flow and heat transfer within various engineering systems. Tasks often include preparing geometry, meshing, running simulations using industry-standard software, and compiling results for presentations. Interns typically collaborate closely with senior engineers and may have opportunities to contribute to ongoing R&D or product development efforts. This hands-on experience provides valuable exposure to practical CFD applications and teamwork in a professional engineering environment.

What skills and qualifications are needed to thrive as a computational fluid dynamics intern?

To thrive as a Computational Fluid Dynamics Intern, you need a solid background in fluid mechanics, thermodynamics, and numerical analysis, typically supported by progress toward a degree in engineering or applied sciences. Familiarity with CFD software like ANSYS Fluent, OpenFOAM, or COMSOL, as well as programming skills in Python, MATLAB, or C++, is often expected. Strong analytical thinking, attention to detail, and effective teamwork set standout candidates apart. These skills are crucial for accurately simulating complex fluid flows, delivering reliable results, and collaborating efficiently on engineering projects.

What is the difference between Computational Fluid Dynamics Intern vs Mechanical Engineering Intern?

AspectComputational Fluid Dynamics InternMechanical Engineering Intern
Required CredentialsUndergraduate or graduate in engineering, basic programming skillsUndergraduate in mechanical engineering or related field
Work EnvironmentResearch labs, simulation software, computational tasksDesign projects, testing, manufacturing settings
Industry UsageUsed mainly in aerospace, automotive, energy sectorsBroadly used across manufacturing, robotics, HVAC

Computational Fluid Dynamics Interns focus on simulation and analysis of fluid flow using specialized software, often within research or development teams. Mechanical Engineering Interns have a broader scope, involving design, testing, and manufacturing tasks. While both roles require engineering fundamentals, CFD internships emphasize computational skills and fluid dynamics, whereas mechanical internships cover a wider range of mechanical systems and processes.

What cities are hiring for Computational Fluid Dynamics Intern jobs?

Cities with the most Computational Fluid Dynamics Intern job openings:

What are the most commonly searched types of Computational Fluid Dynamics jobs?

The most popular types of Computational Fluid Dynamics jobs are:

What states have the most Computational Fluid Dynamics Intern jobs?

States with the most job openings for Computational Fluid Dynamics Intern jobs include:

Infographic showing various Computational Fluid Dynamics Intern job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Postdoctoral Research Fellow: Fluid Dynamics, Physical AI, and Biomedical Robotics

Baltimore, MD • On-site

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees

$48K - $66K/yr

Full-time

Re-posted 3 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz


Job description

Description
We are seeking a highly motivated and talented Postdoctoral Research Fellow to help develop a state-of-the-art digital twin in biofluid dynamics. This position lies at the intersection of Physical AI, high-fidelity computational fluid dynamics (CFD), and advanced biomedical robotics.
The successful candidate will contribute to the development of two key components of our virtual testbed:
  1. Computational Fluid Dynamics for Blood Flow Simulation
  2. Biomechanical Simulation of Device-Tissue Interaction

Together, these capabilities will support the high-throughput, low-latency simulation environment required for training foundation models and embodied AI systems for next-generation endovascular robotic platforms in neurosurgery.
Core Responsibilities
  • Advance Fluid-Structure Interaction (FSI):
    Develop and expand our GPU-native, sharp-interface immersed boundary CFD framework to enable near-real-time, multi-GPU simulations of device-flow-clot-wall interactions under physiologically realistic pulsatile flow conditions.
  • Multi-Physics Coupling:
    Bridge hemodynamics and tissue mechanics by implementing a lightweight coupling interface that supports bidirectional force exchange and geometric constraint handling between asynchronous solvers.

Qualifications
Required Qualificatons
  • PhD in Mechanical Engineering, Biomedical Engineering, Engineering Mechanics, or a closely related field.
  • Demonstrated expertise in Computational Fluid Dynamics (CFD) and Fluid-Structure Interaction (FSI) modeling.
  • Strong background in High-Performance Computing (HPC), including GPU-native solver development (e.g., CUDA) and parallel computing.

The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. The actual compensation offered to the selected candidate may vary and will be based on factors including, but not limited to, the experience and qualifications of the selected candidate - e.g., years in rank, training, field, discipline, other work experience, and other similar factors; geographic location; internal equity; external market conditions; and other factors as reasonably determined by the University.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876