ZipRecruiter

Log In

1

Computational Engineering Jobs in Texas (NOW HIRING)

Thermon

Computational Fluid Dynamics Analyst

Seguin, TX · On-site

The RoleUnder supervision, provides Finite Element Analysis (FEA) and Computational Fluid Dynamics ... Key Responsibilities and AccountabilitiesResponsible for providing engineering support to Thermon ...

Thermon

Computational Fluid Dynamics Analyst

Seguin, TX · On-site

The Role Under supervision, provides Finite Element Analysis (FEA) and Computational Fluid Dynamics ... Responsible for providing engineering support to Thermon subsidiaries and clients. * Provides ...

previous page

Showing results 41-60

All JobsComputational Engineering JobsComputational Engineering Jobs in Texas

Computational Engineering information

See Texas salary details

$45.2K

$113.2K

$128.1K

How much do computational engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computational engineering in Texas is $113,210.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $122,500.00 per year, depending on experience, location, and employer.

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 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 in fields such as aerospace, automotive, or energy. Strong skills in programming, numerical methods, and problem-solving are essential for this role.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, where advanced simulations and modeling are essential. Professionals with skills in programming, numerical methods, and software tools like MATLAB or Python are sought after for their ability to optimize designs and solve complex problems.

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.

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 are the most commonly searched types of Computational Engineering jobs in Texas? The most popular types of Computational Engineering jobs in Texas are:
What are popular job titles related to Computational Engineering jobs in Texas? For Computational Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Computational Engineering jobs in Texas look for? The top searched job categories for Computational Engineering jobs in Texas are:
What cities in Texas are hiring for Computational Engineering jobs? Cities in Texas with the most Computational Engineering job openings:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $113,210 per year, or $54.4 per hour.

RESEARCH ENGINEER - SR. RESEARCH ENGINEER - Computational Combustion Engineer

Southwest Research Institute - Fulltime

San Antonio, TX • On-site

$94K - $129K/yr

Other

Re-posted 4 days ago

Southwest Research Institute rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

8th of 73 rated research

Job description

Who We Are: The Propulsion & Energy Machinery Section performs engineering R&D in the fields of gas turbine combustion, air-breathing propulsion, industrial heat and power, and liquid propulsion. Our technologies are powering a cleaner future and advancing state-of-the-art propulsion systems for air and space flight. Objectives of this Role: Support the development, analysis, and testing of power generation and propulsion systems, with a specific focus on combustion applications. Engage in the development of advanced computational models to explore complex combustion phenomena, contributing to cutting-edge research in thermofluids, power generation, and propulsion systems. Utilize expertise in heat transfer, fluid dynamics, gas dynamics, and combustion processes to optimize designs and improve performance in power generation and propulsion systems. Leverage state-of-the-art Computational Fluid Dynamics (CFD) software, including Ansys Fluent, Converge, and OpenFOAM to simulate flow conditions and analyze combustion processes in power generation and propulsion systems. Integrate experimental insights with simulation data to validate models and develop predictive capabilities for combustion processes in power generation and propulsion systems operating under extreme conditions. Daily and Monthly Responsibilities: Provide cross-disciplinary support to multiple projects within the field of combustion, focusing mainly on computational tasks. Conduct design, optimization, and validation of combustion processes using CFD. Contribute to the design of combustion processes for power generation and propulsion systems. Assist in executing experimental test campaigns, including data acquisition, processing, and analysis, to support model validation. Be a problem solver that exercises creativity and independent judgement in developing approaches to address a wide range of technical challenges. Requirements: Requires a Bachelors, Masters or a PhD in Mechanical Engineering, Aerospace Engineering, Chemical Engineering, or related engineering degree. 5 years relevant professional experience required with Bachelors degree, 3 years relevant professional experience required with Masters degree, and 1 year of related experience required with PhD. 1-5 years: Demonstrated experience in CFD simulations of thermofluids and combustion processes. Experience with supersonic and/or hypersonic flow simulations is preferred but not required. 1-5 years: Experience in computationally-aided design of propulsion and power generation systems. Experience in designing system components is also valued. 1-5 years: Demonstrated proficiency in using CFD software such as Ansys Fluent, Converge, STAR-CCM+, or OpenFOAM for simulating and analyzing combustion processes. Experience with additional simulation tools is preferred but not required. Experimental experience with combustion processes and mechanical design is highly desirable but not mandatory. MS or PhD degrees in engineering are preferred, but not required. Relevant degrees will also be considered. A valid/clear driver's license is required.

What Southwest Research Institute employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply