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Computational Engineering Jobs (NOW HIRING)

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

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

ExxonMobil

Computational Fluid Dynamics Engineer

Spring, TX · On-site

$102.70K - $121.10K/yr

Python, C++) and applies software-engineering best practices Collaborates with computational scientists to develop new algorithms Understands data structures, algorithms, and libraries commonly used ...

LLNL

Nonlinear Computational Analysis Engineer

Livermore, CA · On-site

$130.80K - $154.20K/yr

These positions are in the Computational Engineering Division (CED), within the Engineering Directorate. These positions will be filled at either level based on knowledge and related experience as ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

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

LLNL

Nonlinear Computational Analysis Engineer

Livermore, CA · On-site

$130.80K - $154.20K/yr

These positions are in the Computational Engineering Division (CED), within the Engineering Directorate. These positions will be filled at either level based on knowledge and related experience as ...

HDR

Computational Engineer

Denver, CO · On-site

$114.80K - $135.30K/yr

... engineering processes and support technological advancements. Responsibilities : • Deliver projects utilizing advanced workflows and computational design tools • Develop and implement design ...

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$48.5K

$121.5K

$137.5K

How much do computational engineering jobs pay per year?

As of May 29, 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 Engineering job?

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 are the key skills and qualifications needed to thrive in the Computational Engineering position, and why are they important?

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.
More about Computational Engineering jobs
What cities are hiring for Computational Engineering jobs? Cities with the most Computational Engineering job openings:
What are the most commonly searched types of Computational Engineering jobs? The most popular types of Computational Engineering jobs are:
What states have the most Computational Engineering jobs? States with the most job openings for Computational Engineering jobs include:
What job categories do people searching Computational Engineering jobs look for? The top searched job categories for Computational Engineering jobs are:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 14% Full Time, 50% Part Time, and 35% Contract. Highlights an 96% Physical, and 4% Hybrid 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

Posted 10 days ago

University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

128th of 529 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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