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Computational Modeling Simulation Multiphysics Jobs in Houston, TX

ExxonMobil

Computational Scientist

Spring, TX · On-site

... multiphysics mathematical modeling, scientific computing, and numerical analysis. • Hands-on ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

ExxonMobil

Computational Scientist

Spring, TX

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

ExxonMobil

Computational Scientist

Spring, TX

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing ... computational cost in decision-making processes (e.g., optimization, inverse problems, data ...

Viridien

Senior Geophysicist, Multiphysics

Houston, TX · On-site

... computational scientists and software engineers, with a hub in Milan and plugged into Viridien ... We develop industry-leading technology for the analysis and multidimensional integrated modeling ...

KBR, Inc.

Advanced Simulation Specialist

Houston, TX · On-site

Support other advanced engineering studies such as computational fluid dynamics, OTS support, and ... Aspen Custom Modeler * PIPENET * PIPESIM * SPS * Experience with Operator Training Simulators (OTS ...

KBR

Advanced Simulation Specialist

Houston, TX · On-site

Support other advanced engineering studies such as computational fluid dynamics, OTS support, and ... Aspen Custom Modeler * PIPENET * PIPESIM * SPS * Experience with Operator Training Simulators (OTS ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Houston, TX

Computational Modeling Simulation Multiphysics information

See Houston, TX salary details

$37.2K

$96.7K

$137.5K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computational modeling simulation multiphysics in Houston, TX is $96,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,700.00 per year, depending on experience, location, and employer.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Houston, TX? For Computational Modeling Simulation Multiphysics jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Houston, TX look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Houston, TX are:
What cities near Houston, TX are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Houston, TX with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Houston, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,696 per year, or $46.5 per hour.
Computational Scientist

Computational Scientist

ExxonMobil

Spring, TX • On-site

Full-time

Re-posted 10 days ago

ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 225 frontline employees who took The Breakroom Quiz

57th of 75 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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