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Computational Engineering Jobs in Spring, TX (NOW HIRING)

ExxonMobil

Computational Scientist

Spring, TX · On-site

Required : • PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. • Experience in developing, applying, and ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

Guru Schools

SeniorPython Developer

Spring, TX · On-site

$42.50 - $58.50/hr

... 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 ...

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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$43.2K

$108.1K

$122.4K

How much do computational engineering jobs pay per year?

As of Jun 26, 2026, the average yearly pay for computational engineering in Spring, TX is $108,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $117,000.00 per year, depending on experience, location, and employer.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially with advanced skills in areas like software development, systems architecture, or cybersecurity, and in senior or executive roles. Achieving this level often requires extensive experience, specialized certifications, and working in high-paying industries or companies. Such salaries are more common in senior positions, consulting, or entrepreneurial ventures within the tech field.

What are the key skills and qualifications needed to thrive in the Computational Engineering position, and why are they important?

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What can you do with a computational engineering degree?

A computational engineering degree prepares individuals for roles involving modeling, simulation, and analysis of complex systems across industries such as aerospace, automotive, energy, and manufacturing. Graduates often work as simulation engineers, data analysts, or software developers, utilizing tools like MATLAB, Python, or C++ and applying skills in mathematics, programming, and systems design.

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 Engineering job?

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or nuclear engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.
What are the most commonly searched types of Computational Engineering jobs in Spring, TX? The most popular types of Computational Engineering jobs in Spring, TX are:
What job categories do people searching Computational Engineering jobs in Spring, TX look for? The top searched job categories for Computational Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Computational Engineering jobs? Cities near Spring, TX with the most Computational Engineering job openings:
Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in Spring, TX as of June 2026, with employment types broken down into 100% Temporary. Highlights an 100% In-person job distribution, with an average salary of $108,135 per year, or $52 per hour.
Computational Scientist

Computational Scientist

ExxonMobil

Spring, TX • On-site

Full-time

Posted 20 days ago

ExxonMobil rating

6.1

Company rating: 6.1 out of 10

Based on 221 frontline employees who took The Breakroom Quiz

54th of 74 rated oil and gas companies

Job description

Job Summary:
ExxonMobil is one of the world’s largest publicly traded energy and chemical companies, seeking a highly skilled and motivated Computational Scientist to join their team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.
Responsibilities:
• Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
• Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.
Qualifications:
Required:
• PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field.
• Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
• Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
• Hands-on experience with deep learning, including familiarity with a range of architectures (e.g., autoencoder, transformer, diffusion model, GAN) and their application to industrial, engineering, or scientific problems.
• Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational cost in decision-making processes (e.g., optimization, inverse problems, data assimilation) while maintaining fit-for-purpose accuracy.
• Experience in formulating and solving convex and PDE constrained optimization problems.
• Strong proficiency in programming/scripting languages like Python or C++/C#.
• Proficiency in ML frameworks (PyTorch, TensorFlow, scikit-learn) experience with Databricks/Spark is a plus.
• Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
• Experience working in Linux and High-Performance Computing environment is desirable but not required.
• Prior experience in the upstream oil and gas industry is an advantage.
• Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.
Company:
ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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