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Computational Engineering Internship Jobs in Dallas, TX

Computational Engineering Internship information

See Dallas, TX salary details

$10

$19

$29

How much do computational engineering internship jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for computational engineering internship in Dallas, TX is $19.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 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.

What are the most commonly searched types of Computational Engineering jobs in Dallas, TX?

The most popular types of Computational Engineering jobs in Dallas, TX are:

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

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

Infographic showing various Computational Engineering Internship job openings in Dallas, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $39,742 per year, or $19.1 per hour.

Power Electronics - Thermal Engineer I (R4842) with Security Clearance

Shield AI Inc

Dallas, TX โ€ข On-site

$110K - $131K/yr

Other

Re-posted 2 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description:
Are you a passionate and innovative Thermal Engineer looking to help develop state of the art aircraft? Are you eager to make a positive difference in the world? Do you want to work alongside mission driven and values focused teammates? Shield AI is just the place for you! As a Thermal Engineer at Shield AI, you will lead the design, analysis, and integration of aircraft avionics thermal management systems. We are designing a high voltage, high power system using custom power electronics and energy storage. This role is best suited for an engineer who thrives on first-principles problem solving, is comfortable with design challenges, and values extreme ownership. The engineer will be a key contributor in ensuring robust thermal solutions that meet mission-critical aerospace requirements. What you'll do: * Own thermal analysis and design efforts for unmanned aerial vehicle avionics including custom power electronics * Develop and validate analytical, numerical, and computational models for heat transfer and fluid flow using hand calculations and CFD tools such as FloEFD * Provide input to trade studies, system architecture decisions, and risk assessments * Assist cross-functional teams designing power electronic circuits and environmental enclosures * Contribute to design requirements that impact circuit part selection, board layout, material selection, and other design aspects * Drive test planning, instrumentation, and data analysis to correlate models with experimental results * Communicate technical findings clearly through executive-level briefings, design reviews, and written reports * Proactively identify risks, propose solutions, and influence electrical and/or PCBA design direction Required qualifications: * B.S. in Mechanical Engineering, Aerospace Engineering, or related discipline * Internship or engineering club experience in avionics or electronics thermal engineering * Knowledge of heat transfer (conduction, convection, radiation) and fluid mechanics * Familiarity with thermal analysis and CFD tools (e.g., ANSYS Icepak, FloEFD, STAR-CCM+) * Experience with CAD design tools such as NX, SolidWorks, or similar * Demonstrated experience applying first-principles reasoning to engineering problems * Strong written and verbal communication skills, with a track record of leading technical discussions and presenting to stakeholders * Proven ability to learn and adapt quickly to new tools, processes, and technical challenges in a fast paced, startup environment * Ability to obtain a S//SAR level security clearance desired. #LI-JM2 #LA Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.