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Computational Engineering Jobs in Grapevine, TX (NOW HIRING)

Experience deploying models via APIs, batch pipelines, or streaming architecture Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow Statistical ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Computational Programming with Python including packages such as Pandas, scikit-learn, Pytorch/Tensorflow * Statistical and predictive modeling * Experience building data visualizations and ...

Bachelor's degree or above in Computer Science, software engineering, Electrical/Computer Engineering, or a related field. * 3-5 years of proven experience working with 3D graphics, computational ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Computational Biology & Cheminformatics Expert Role Type: Contractor Location: Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer ...

Showing results 41-60

Computational Engineering information

See Grapevine, TX salary details

$44.8K

$112.3K

$127K

How much do computational engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for computational engineering in Grapevine, TX is $112,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $121,500.00 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.

What are popular job titles related to Computational Engineering jobs in Grapevine, TX?

For Computational Engineering jobs in Grapevine, TX, the most frequently searched job titles are:

What cities near Grapevine, TX are hiring for Computational Engineering jobs?

Cities near Grapevine, TX with the most Computational Engineering job openings:

Infographic showing various Computational Engineering job openings in Grapevine, TX as of August 2026, with employment types broken down into 6% Internship, 68% Full Time, 10% Part Time, 10% Temporary, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $112,266 per year, or $54 per hour.

Instructor - O'Donnell Brain Institute [Req#: 956148, Position#: 132306]

UT Southwestern Medical Center

Dallas, TX • On-site

$100K/yr

Full-time

Re-posted 17 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

108th of 893 rated healthcare providers


Job description

Description
The O'Donnell Brain Institute at UT Southwestern Medical Center invites applications for the Early Impact Faculty Scholar (EIFS) Program in Computational and Theoretical Neuroscience. This program is designed to recruit exceptional early-career scientists who are pursuing innovative research in theoretical neuroscience, computational neuroscience, AI-related neuroscience, and related disciplines.
The EIFS appointment is a faculty-level Instructor position that provides outstanding early-career researchers with the opportunity to establish an independent research program while receiving mentorship, institutional support, and the ability to compete for independent research funding.
Faculty Scholars are appointed for a three-year term (with a two-year appointment possible in exceptional cases) and are supported by an Advisory Committee of internal and external experts who provide career guidance, scientific mentorship, and formal evaluation for potential transition to a tenure-track faculty position.
Responsibilities
  • Develop and lead an innovative, independent research program in computational and/or theoretical neuroscience.
  • Pursue externally funded research.
  • Collaborate with investigators across the O'Donnell Brain Institute and UT Southwestern.
  • Participate in scientific presentations, seminars, and institute activities.
  • Meet regularly with an Advisory Committee that provides mentorship and career development guidance.
  • Present research progress and future plans during the formal review process for potential transition to a tenure-track faculty appointment.

Required Qualifications
  • PhD in neuroscience, computational neuroscience, computer science, engineering, physics, mathematics, statistics, or a related quantitative discipline, or a PhD thesis approved for defense by the time of appointment.
  • Candidates must be at the earliest stages of their independent research career, from completion of the PhD through approximately 2-3 years post-PhD.
  • Demonstrated research excellence and strong potential for developing an independent research program in computational and/or theoretical neuroscience.
  • Evidence of scholarly productivity through publications in peer-reviewed journals and presentations at scientific conferences.
  • Expertise in one or more of the following areas: computational neuroscience, theoretical neuroscience, artificial intelligence, machine learning, mathematical modeling, data science, or related fields.
  • Excellent written and verbal communication skills and the ability to collaborate effectively within an interdisciplinary research environment.

Preferred Qualifications
  • Research that complements and enhances the scientific mission of the O'Donnell Brain Institute.
  • Demonstrated ability to develop innovative, high-impact research questions.
  • Experience working across disciplines, including neuroscience, computation, AI, engineering, or quantitative biology.
  • Potential to secure independent extramural research funding.

Appointment and Support
The Early Impact Faculty Scholar appointment includes:
  • Three-year Instructor faculty appointment (two-year appointment possible in exceptional circumstances)
  • 100% institutional salary support during the appointment
  • $100,000 annually for research staff and related research expenses
  • Institutional support for computational resources based on research needs
  • Eligibility to apply for independent research funding

Faculty are formally evaluated during the appointment for potential transition to a tenure-track Assistant Professor position.
Application Instructions
  • Cover letter describing research interests and qualifications for the position.
  • Curriculum vitae (CV).
  • Research statement (3-5 pages) outlining past accomplishments, current research, and future research plans.
  • Contact information for three professional references (letters of recommendation may be requested at a later stage).

Applications should be submitted electronically through the UT Southwestern Careers website. Review of applications will begin immediately and continue until the position is filled.

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