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Computational Fluid Dynamics Internship Jobs (NOW HIRING)

POSITION SPECIFICS We are searching for aDivision Head for the Computational Fluid Dynamics (CFD) Division in the Fluid Dynamics and Acoustics Office (FDAO) at the Applied Research Laboratory (ARL ...

POSITION SPECIFICS We are searching for aDivision Head for the Computational Fluid Dynamics (CFD) Division in the Fluid Dynamics and Acoustics Office (FDAO) at the Applied Research Laboratory (ARL ...

Computational Physics/Aerosciences Engineer Support on-going projects in aerodynamics, aeroelasticity, computational fluid dynamics (CFD), flight vehicle analysis and numerical methods supporting ...

You will utilize advanced multiphase Computational Fluid Dynamics (CFD) methods to model complex ... Experience: 5+ years of experience (including internships or Formula Student/FSAE experience) in ...

You will utilize advanced multiphase Computational Fluid Dynamics (CFD) methods to model complex ... Experience: 5+ years of experience (including internships or Formula Student/FSAE experience) in ...

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Computational Fluid Dynamics Internship information

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

As of Jul 26, 2026, the average hourly pay for computational fluid dynamics internship 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 are the key skills and qualifications needed to thrive as a Computational Fluid Dynamics (CFD) Intern, and why are they important?

To thrive as a Computational Fluid Dynamics Intern, you need a strong background in fluid mechanics, numerical methods, and programming, typically supported by coursework in mechanical or aerospace engineering. Familiarity with CFD software such as ANSYS Fluent, OpenFOAM, and proficiency in programming languages like Python or MATLAB are commonly required. Strong analytical thinking, attention to detail, and effective communication help you interpret results and collaborate with engineering teams. These skills are crucial for accurately simulating fluid behaviors, solving complex engineering problems, and contributing value to research or design projects.

What is a Computational Fluid Dynamics Internship?

A Computational Fluid Dynamics (CFD) Internship is a temporary position, typically for students or recent graduates, where individuals work with professionals to simulate and analyze fluid flows using specialized computer software. Interns gain hands-on experience applying mathematical models and physics principles to solve real-world problems in industries like aerospace, automotive, and energy. The internship often involves tasks such as creating simulation models, running analyses, interpreting results, and collaborating with engineering teams. This experience helps interns develop technical and problem-solving skills needed for a career in CFD or related fields.

What types of projects and responsibilities can I expect during a Computational Fluid Dynamics (CFD) internship?

As a Computational Fluid Dynamics intern, you'll typically work on tasks such as setting up and running CFD simulations, validating models with experimental or real-world data, and analyzing simulation results to support engineering decisions. You may also assist in refining mesh quality, optimizing design parameters, and preparing technical reports or presentations for your team. Interns often collaborate closely with engineers, researchers, and sometimes software developers, gaining valuable hands-on experience with industry-standard CFD tools. This role offers excellent exposure to problem-solving in real engineering contexts and is a great stepping stone for further career growth in aerospace, automotive, or energy sectors.

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

AspectComputational Fluid Dynamics InternshipMechanical Engineering Internship
Required CredentialsRelevant coursework, basic programming skillsEngineering fundamentals, possibly CAD experience
Work EnvironmentResearch labs, simulation softwareDesign studios, manufacturing settings
Industry UsageFluid dynamics, aerospace, automotiveProduct design, manufacturing, energy

Computational Fluid Dynamics (CFD) internships focus on simulation and analysis of fluid flow using specialized software, often requiring programming skills. Mechanical Engineering internships cover broader engineering principles, including design and manufacturing. Both roles are industry-relevant but differ in scope and technical focus.

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What cities are hiring for Computational Fluid Dynamics Internship jobs? Cities with the most Computational Fluid Dynamics Internship job openings:
What are the most commonly searched types of Computational Fluid Dynamics jobs? The most popular types of Computational Fluid Dynamics jobs are:
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What job categories do people searching Computational Fluid Dynamics Internship jobs look for? The top searched job categories for Computational Fluid Dynamics Internship jobs are:
Infographic showing various Computational Fluid Dynamics Internship job openings in the United States as of July 2026, with employment types broken down into 68% Full Time, 31% Part Time, and 1% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Researcher III - Computational Fluid Dynamics

Nrel

Golden, CO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Posting TitleResearcher III - Computational Fluid Dynamics

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LocationCO - Golden

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Position TypeRegular

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Hours Per Week40

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Working at NLRNLR is located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for energy systems research and development.

Join the National Laboratory of the Rockies (NLR), where world-class scientists, engineers, and experts are accelerating energy innovation through breakthrough research and systems integration. From our mission to our collaborative culture, NLR stands out in the research community for its commitment to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective energy solutions. Our work helps strengthen U.S. industries, support job creation, and promote national economic growth.

At NLR, you'll find a mission-driven environment supported by state-of-the-art facilities, multidisciplinary research teams, and strong collaborations with industry, academia, and other national laboratories. We offer robust professional development opportunities, and a competitive benefits package designed to support your career and well-being.

Job Description

The Scalable Algorithms, Modeling, and Simulation group in the NLR Computational Science Center has an opening for a researcher to advance computational fluid dynamics (CFD) and multi-physics modeling for energy technologies. This position will support and further the capabilities of our advanced simulation tools to address critical challenges in synthetic aviation fuels, hydrogen combustion, and high-fidelity fluid dynamics. The successful candidate will play a key role in developing and applying cutting-edge computational methods, contributing to scientific publications, and fostering collaboration across multidisciplinary teams.

Duties include:

  • Developing and applying high-fidelity simulation cases in tools like PeleLMeX for studying combustion in various burner geometries.
  • Learning, maintaining, and enhancing the Kynema suite of incompressible solvers, including contributing new capabilities for complex applications like estuary flows, underwater turbines, and power lines.
  • Implementing advanced numerical methods such as immersed boundary methods to model intricate geometries and bathymetry in flow simulations.
  • Developing and refining property prediction models within computational frameworks such as FuelLib, utilizing experimental data to enhance accuracy and predictive capabilities.
  • Maintaining and ensuring the functionality of critical codebases and managing shared repositories for knowledge transfer and collaborative development.
  • Collaborating effectively with internal and external partners, including industry and university stakeholders, to advance research objectives and integrate new functionalities.
  • Authoring and co-authoring high-impact scientific publications.

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Basic QualificationsRelevant PhD . Or, relevant Master's Degree and 3 or more years of experience . Or, relevant Bachelor's Degree and 5 or more years of experience . Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines. Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications
  • A strong background in computational fluid dynamics (CFD) and multi-physics modeling, demonstrated through significant project contributions and publications.
  • Proven experience with high-fidelity modeling platforms and incompressible solvers, ideally including experience with codes such as AMR-Wind or PeleLMeX.
  • Proficiency in scientific programming and code development, with a track record of maintaining and contributing to complex codebases and integrating new features effectively.
  • Excellent oral and written communication skills for presenting research findings at scientific meetings and authoring peer-reviewed publications.
  • Strong analytical skills and creative thinking abilities to solve complex problems in fluid dynamics, combustion, and energy systems.
  • Ability to develop and maintain positive relationships internally within NLR and externally with sponsors and research partners.
Preferred Qualifications

Experience maintaining highly active code bases using versioning software (e.g., Git).

Experience working on high-performance computing (HPC) systems and optimizing codes for various machine architectures.

Ability to lead and influence across organizational boundaries, facilitating collaborations across multiple disciplines.

Experience and interest in mentoring and contributing to talent development within the research group.

Interest in expanding research domains to new areas.

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Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: Researcher III / Annual Salary Range: $83,600 - $150,500

NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; short*- and long-term disability insurance; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; paid holidays; and tuition reimbursement*. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement. Limited-term positions are not eligible for long-term disability or tuition reimbursement.

* Based on eligibility rules

Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.Drug Free Workplace

NLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

Submission Guidelines

Please note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.