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Computational Modeling Simulation Multiphysics Jobs in Houston, TX

Western Midstream

Leak Detection Engineer

The Woodlands, TX · On-site

$77K - $98K/yr

Proficiency with leak detection software, Computational Pipeline Monitoring (CPM), real-time transient models (RTTM), and pipeline simulation tools. * Excellent analytical, problem-solving, and ...

Western Midstream

Leak Detection Engineer

The Woodlands, TX · On-site

$77K - $98K/yr

Proficiency with leak detection software, Computational Pipeline Monitoring (CPM), real-time transient models (RTTM), and pipeline simulation tools. * Excellent analytical, problem-solving, and ...

Atec, Inc.

Mechanical Engineer I

Stafford, TX · On-site

... computational fluid dynamics (CFD), classical hand calculations, and other methods. * Assist in ... Experience using 3-D Solid Modeling software (SolidWorks), Structural FEA (SolidWorks Simulation ...

Atec, Inc.

Mechanical Engineer I

Stafford, TX · On-site

... computational fluid dynamics (CFD), classical hand calculations, and other methods. * Assist in ... Experience using 3-D Solid Modeling software (SolidWorks), Structural FEA (SolidWorks Simulation ...

Atec, Inc.

Mechanical Engineer I

Stafford, TX · On-site

... computational fluid dynamics (CFD), classical hand calculations, and other methods. * Assist in ... Experience using 3-D Solid Modeling software (SolidWorks), Structural FEA (SolidWorks Simulation ...

ExxonMobil

Geophysics Specialist - Advanced

Spring, TX · On-site

Work with computational scientists and software engineers to validate and deliver new imaging and ... model building experience * Hands-on software development experience in wavefield simulation ...

Meade

Mechanical Engineer III (CFD)

Houston, TX

$111K - $136K/yr

... Computational Fluid Dynamics (CFD) to be an integral member of our design team. The scope of ... CFD modeling and simulation to design and optimize mechanical systems for data centers or other ...

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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:
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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.
Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Posted 29 days ago

Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

57th of 555 rated colleges and universities

Job description

Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research)
Division: Surgery
Work Arrangement:
Location: Houston, TX
Salary Range:
FLSA Status: Exempt
Work Schedule:
Baylor College of Medicine and Department Summary:
Baylor (www.bcm.edu) is recognized as one of the nation's premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).
Summary
Baylor College of Medicine is seeking an exceptional PhD-level AI researcher to serve as a founding leader of the Vascular Intelligence for Translational AI & Learning (VITAL) Lab-a newly funded, $14M initiative focused on transforming aortic surgery through advanced artificial intelligence, data science, and translational research.
This individual will be responsible for building the VITAL Lab from inception, establishing a state-of-the-art research infrastructure, and leading the development of innovative AI-enabled solutions to improve diagnosis, procedural planning, and outcomes in aortic disease.
The ideal candidate will combine deep technical expertise in AI delivery (computer vision, machine learning, multimodal data) with demonstrated experience in clinical research-preferably in cardiovascular, aortic surgery domains.
Job Duties
VITAL Lab Development & Leadership
  • Lead the end-to-end buildout of the VITAL Lab, including infrastructure, governance, and research roadmap
  • Develop a world-class AI research ecosystem aligned with Baylor Medicine's strategic priorities in vascular and aortic care
  • Oversee utilization of a $14M grant portfolio, ensuring execution against milestones, deliverables, and reporting requirements
  • Establish partnerships across surgery, radiology, cardiology, and computational sciences

AI & Data Platform Development
  • Design and deploy scalable AI pipelines for imaging, clinical, and genomic data
  • Lead development of a large-scale, high-quality aortic research database (imaging repository, clinical registry, biobank integration)
  • Implement machine learning, deep learning, and computer vision models for:
    • Aortic disease detection and classification
    • Surgical planning and simulation, including digital twin creation and computational fluid dynamic analysis
    • Outcomes prediction and risk stratification
  • Drive AI model deployment and real-world clinical integration

Research & Academic Contributions
  • Lead high-impact peer-reviewed publications in top-tier journals
  • Develop and submit extramural grant proposals (NIH, NSF, DoD, industry partnerships)
  • Present research at national and international conferences
  • Establish the VITAL Lab as a global leader in AI-driven aortic surgery research

Clinical & Translational Collaboration
  • Collaborate closely with vascular and aortic surgeons to translate clinical needs into AI solutions
  • Integrate AI tools into clinical workflows and surgical decision-making
  • Support the development of next-generation clinical trials leveraging AI insights

Education & Mentorship
  • Mentor trainees including PhD students, residents, fellows, and research staff
  • Develop educational programming in AI for surgery and translational data science

Minimum Qualifications
  • PhD in Computer Science, Biomedical Engineering, Data Science, or related field
  • Demonstrated expertise in machine learning, deep learning, and AI system development
  • Proven track record of peer-reviewed publications and research impact
  • Experience building or contributing to large-scale research datasets or platforms

Preferred qualifications:
  • Prior experience in cardiovascular disease research
  • Experience working in academic medical centers or translational research environments
  • Demonstrated success in AI deployment
  • Experience managing large research programs, labs, or grant-funded initiatives
  • Proficiency in medical imaging analysis (CT, MRI, 3D reconstruction)
  • Familiarity with regulatory frameworks (HIPAA, data governance, IRB)

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Requisition ID: 25515

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