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Computational Engineering Internship Jobs (NOW HIRING)

Capital One Group

$12.25 - $16/hr

... GPU computational frameworks. * Experience or academic work with AI/ML domains and systems (e.g ... AI Engineering Internship At Capital One, we are creating responsible and reliable AI systems ...

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Nwis

Jr. Computational Engineer

Annapolis Junction, MD

$64K - $128K/yr

... Internship or research experience in modeling, simulation, or programming Required Education ... Bachelor's degree in computer engineering, Software Engineering, System Engineering, Computer ...

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Capital One Group

$12.25 - $16/hr

Current Master's, AI Engineering Internship Program - Summer 2027 Key Role Details This is a ... GPU computational frameworks. * Experience or academic work with AI/ML domains and systems (e.g ...

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Computational Engineering Internship information

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How much do computational engineering internship jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for computational engineering 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 is a computational engineering internship?

A Computational Engineering Internship is a temporary position for students or recent graduates, where they apply their knowledge of computer science, mathematics, and engineering to solve real-world problems using computational methods. Interns typically work on projects involving simulation, modeling, data analysis, or software development in engineering fields. This role provides hands-on experience with industry tools and technologies, and helps interns develop practical skills in areas such as programming, numerical analysis, and algorithm design. Interns may also collaborate with experienced engineers and researchers, contributing to ongoing projects and gaining valuable insights into engineering workflows.

What types of projects does a computational engineering intern typically work on, and how do these projects contribute to their professional development?

Computational Engineering Interns often work on projects involving simulation, modeling, data analysis, or algorithm development to solve real engineering problems. These assignments may include optimizing engineering processes, validating simulation results, or supporting the development of new computational tools. Interns usually collaborate closely with experienced engineers, gaining exposure to industry software and best practices. This hands-on experience not only develops their technical abilities but also helps them build teamwork and communication skills essential for advancing in the field.

What are the key skills and qualifications needed to thrive as a computational engineering intern, and why are they important?

To thrive as a Computational Engineering Intern, you need a solid background in mathematics, programming (such as Python, MATLAB, or C++), and engineering principles, typically gained through relevant coursework or a degree in engineering, computer science, or a related field. Familiarity with simulation software, numerical analysis tools, and version control systems like Git is often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and contribute to complex engineering projects. These competencies are crucial for efficiently supporting engineering teams and delivering accurate computational analyses in a fast-paced environment.

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

AspectComputational Engineering InternshipMechanical Engineering Internship
Required CredentialsTypically pursuing or holding a degree in computational, software, or engineering disciplinesTypically pursuing or holding a degree in mechanical engineering or related fields
Work EnvironmentFocus on software development, simulations, and modeling in labs or office settingsHands-on hardware, design, and testing in labs, manufacturing, or field environments
Industry UsageUsed in aerospace, automotive, energy, and tech sectors for simulation and analysisCommon in manufacturing, automotive, aerospace, and product design industries

Computational Engineering Internships focus on software, modeling, and simulation tasks, often in tech-driven industries, while Mechanical Engineering Internships involve physical design, testing, and hardware work. Both roles require engineering backgrounds but differ in daily tasks and work environments.

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Computational Engineering Internship jobs near you
Infographic showing various Computational Engineering Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Director, Institute for Computational Engineering and Sciences and Professor

Austin, TX • On-site

The University of Texas at Austin
Education • 10K+ employees
Learn more about The University of Texas at Austinexternal

Full-time

Re-posted 26 days ago

University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

Job description

Description
The University of Texas at Austin invites applications and nominations for the position of Director of the Institute for Computational Engineering and Sciences (ICES). ICES is an organized research unit, reporting directly to the Vice President for Research, dedicated to research and graduate study in computational engineering and science, with a strong core in computational and applied mathematics. The Director must define and communicate effectively a vision and plan for leading ICES to the highest levels of excellence in its mission to provide outstanding interdisciplinary research and graduate programs in computational sciences, engineering, and information technology.
Over one hundred faculty members from five schools and colleges across the UT Austin campus participate in ICES, and are organized into 18 research centers and groups. ICES programs include a graduate degree program in Computational Science, Engineering and Mathematics, a postdoctoral fellowship program, a visiting scholars program, a research awards program for UT Austin faculty, a summer internship program for undergraduate students, and an undergraduate certificate program in computational engineering and science. The Director also oversees a number of endowments that are used to attract outstanding faculty members with expertise in computational engineering and science to UT Austin.
Qualifications
The successful applicant is expected to have an internationally recognized record of research and scholarship, and will be appointed as a full professor with tenure holding an endowed chair. The Director should also have demonstrated capabilities and accomplishments in academic leadership, have skills for interacting effectively with both internal and external constituents, and have experience building an environment that encourages diversity in the Institute and the field at large. Candidates should have experience managing a large academic or research enterprise. Fundraising is an important component of the Director's overall responsibilities.
Application Instructions
Review of applications will begin on 1 March 2017, although nominations and applications will be accepted until the position is filled. It is anticipated that the Director will begin service in 2018. All nominations and applications will be treated with the strictest confidence. Interested and qualified individuals should submit a letter of interest and a complete CV.
Questions about the position or the search process should be directed to Dean Sharon L. Wood (swood@utexas.edu), chair of the search committee.
Additional information about the Institute for Computational Engineering and Sciences at The University of Texas at Austin is available at www.ices.utexas.edu

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