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Computational Engineer Jobs in Houston, TX (NOW HIRING)

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 ...

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 ...

Senior Python Developer - w2

Spring, TX · On-site

$108K - $145K/yr

As part of an integrated project team consisting of software engineers, data scientists, and computational engineers, contribute to a diverse Python codebase that models Carbon Capture and ...

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Computational Engineer information

See Houston, TX salary details

$46.3K

$116K

$131.3K

How much do computational engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for computational engineer in Houston, TX is $116,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $125,600.00 per year, depending on experience, location, and employer.

What is a computational engineer?

A computational engineer is a professional who uses advanced computing techniques and mathematical models to solve complex engineering problems. They develop simulations, algorithms, and software to analyze and optimize systems in fields such as aerospace, automotive, civil engineering, and more. Their work often involves programming, data analysis, and applying principles from physics and mathematics to create efficient solutions. Computational engineers bridge the gap between traditional engineering and computer science, enabling innovation through technology.

How does a computational engineer typically collaborate with multidisciplinary teams on complex projects?

Computational Engineers frequently work alongside professionals from various disciplines such as mechanical engineers, data scientists, and software developers. Effective collaboration often involves translating engineering problems into computational models, communicating technical requirements, and integrating simulation results into broader project workflows. Regular meetings, shared documentation, and collaborative software tools are commonly used to ensure alignment and progress. This team-based approach helps deliver accurate and actionable insights for product design, optimization, or research objectives.

What are the key skills and qualifications needed to thrive as a computational engineer, and why are they important?

To thrive as a Computational Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency in programming languages (such as Python, C++, or MATLAB), experience with simulation software (like ANSYS or COMSOL), and familiarity with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help set top performers apart in this field. These skills are crucial for developing accurate models, optimizing complex systems, and effectively collaborating in multidisciplinary teams.

What is the difference between Computational Engineer vs Software Engineer?

AspectComputational EngineerSoftware Engineer
Required CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; knowledge of programming and numerical methodsBachelor's or Master's in Computer Science, Software Engineering, or related fields; strong programming skills
Work EnvironmentResearch labs, engineering firms, tech companies; often involves simulation and modelingTech companies, startups, software firms; focuses on application development and system design
Industry UsageEngineering, aerospace, automotive, scientific researchIT, software development, technology services

Computational Engineers and Software Engineers share programming skills and work in tech-related environments. However, Computational Engineers focus more on applying computational methods to engineering problems, simulations, and modeling, while Software Engineers primarily develop software applications and systems. Both roles require strong technical backgrounds but serve different industry needs.

How much do computational engineers make?

Computational engineers typically earn a median annual salary between $80,000 and $120,000, depending on experience, education, and industry. Senior roles or those with specialized skills in programming, simulation, or data analysis can earn higher salaries, especially in high-demand sectors like aerospace, defense, or technology companies.

What job categories do people searching Computational Engineer jobs in Houston, TX look for?

The top searched job categories for Computational Engineer jobs in Houston, TX are:

What cities near Houston, TX are hiring for Computational Engineer jobs?

Cities near Houston, TX with the most Computational Engineer job openings:

Infographic showing various Computational Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $116,045 per year, or $55.8 per hour.

Computational Design Specialist

PBK

Houston, TX

Full-time

Re-posted 10 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.