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Computational Engineering Jobs in Texas (NOW HIRING)

PBK

Computational Design Specialist

Houston, TX · On-site

Bachelor's degree in Architecture, Engineering, Design Technology, Practice Technology, Computer Science, or a related field. * 5+ years of experience in A/E/C, computational design, design ...

PBK

Computational Design Specialist

Houston, TX

Bachelor's degree in Architecture, Engineering, Design Technology, Practice Technology, Computer Science, or a related field. * 5+ years of experience in A/E/C, computational design, design ...

Sidram Technologies

Senior Python Developer - w2

Spring, TX · On-site

$108K - $145K/yr

... engineering standards to the existing modeling codebase, re-writing it to make it more robust, maintainable, and extensible Responsibilities * Work with the data scientists and computational ...

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Computational Engineering information

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$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.

Computational Design Specialist

PBK

Houston, TX • On-site

Full-time

Posted 27 days ago

Job description

The Computational Design Specialist supports the Corporate Practice Technology Director in developing and scaling advanced digital workflows, automation, and data-driven processes across projects and offices. This role focuses on integrating technology into project delivery to improve efficiency, coordination, quality, and consistency while helping project teams reduce repetitive manual tasks and focus on higher-value work.
Your Impact:
  • Develop and implement advanced digital workflows, tools, and automation strategies to improve project delivery and operational efficiency.
  • Collaborate with the Corporate Technology Director, BIM Managers, and project teams to evaluate emerging technologies and translate them into scalable solutions.
  • Support pilot initiatives, applied research, and repeatable workflows across project teams and offices.
  • Provide advanced technical support for Revit, Autodesk Forma, Dynamo, Rhino, Grasshopper, visualization tools, Bluebeam, and other design/practice technology platforms.
  • Develop automation scripts and digital tools using Dynamo, Python, C#, JavaScript, APIs, MCPs, or similar platforms.
  • Assist with rollout plans, documentation, guides, and best practices for new tools, automation workflows, and advanced digital delivery methods.
  • Work across disciplines to integrate data, models, and workflows into coordinated digital processes that support project delivery.
  • Troubleshoot design and practice technology issues for project teams, including support through the ticketing system.
  • Train, support, and upskill project teams in advanced digital capabilities, automation tools, and computational design workflows.

Here's What You'll Need:
  • Bachelor's degree in Architecture, Engineering, Design Technology, Practice Technology, Computer Science, or a related field.
  • 5+ years of experience in A/E/C, computational design, design technology, or practice technology.
  • Demonstrated expertise in advanced BIM, computational design, automation, and digital workflows within the AEC industry.
  • Strong technical proficiency in Revit, Dynamo, Rhino, Grasshopper, Python, C#, JavaScript, APIs, MCPs, Navisworks, Autodesk Forma/APS, Bluebeam, and other advanced digital platforms.
  • Experience implementing multi-discipline BIM workflows and supporting broader design and practice technology processes.
  • Strong analytical, problem-solving, and systems-thinking skills with the ability to develop scalable solutions.
  • Ability to collaborate across multidisciplinary teams and communicate complex technical workflows effectively.
  • Strong communication, collaboration, and documentation skills.
  • Ability to implement processes consistently in a fast-paced, multi-office environment.

Here's How You'll Stand Out:
  • Advanced degree or certifications in Architecture, Engineering, Design Technology, Computational Design, Computer Science, or a related field.
  • Experience developing automation tools, scripts, dashboards, or data-driven workflows that improve project delivery and team efficiency.
  • Strong expertise in computational design platforms such as Dynamo, Grasshopper, Rhino, Python, C#, JavaScript, APIs, MCPs, or related tools.
  • Experience translating emerging technologies into practical, scalable workflows for project teams.
  • Strong understanding of BIM, model coordination, data interoperability, visualization, and digital project delivery in an AEC environment.
  • Experience leading pilot initiatives, applied research, or innovation efforts that result in repeatable tools or workflows.
  • Ability to train, mentor, and upskill users with varying levels of design technology and computational design experience.

Apply