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Computational Engineering Jobs (NOW HIRING)

Imh

$14.50 - $18.75/hr

Computational Fluid Dynamics (CFD) and Fluid Mechanics research or practical experience The Advanced Visualization Engineering Intern supports the IMPACT Center's clinical, operational, and ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

Required : • PhD in computational physics, applied mathematics, computational engineering, or a closely related field • Deep expertise in numerical PDE methods: FEM, FVM, or BEM -- weak ...

Johns Hopkins Applied Physics Laboratory

$85K/yr

Are you searching for impactful work in computational engineering and analysis that doesn't confine you to working on the same thing year after year? Does making meaningful contributions to projects ...

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How much do computational engineering jobs pay per year?

As of Aug 27, 2026, the average yearly pay for computational engineering in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, as it involves using advanced modeling, simulation, and programming skills to solve complex engineering problems. The field offers strong job growth prospects, especially for those proficient in programming languages, numerical methods, and software tools like MATLAB or Python.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs across various engineering disciplines.
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Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.

Director, Institute for Computational Engineering and Sciences and Professor

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 9 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

129th of 623 rated colleges and universities

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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