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Machine Learning Cfd Jobs in Pasadena, TX (NOW HIRING)

Sparx Engineering

Mechanical Design Engineer

Houston, TX · On-site

$72K - $98K/yr

Our collaborative and casual work environment fosters creativity, continuous learning, and ... Design components for 3D printing, CNC machining, and injection molding * Create integrated electro ...

Sparx Engineering

Mechanical Design Engineer

Houston, TX · On-site

$72K - $98K/yr

Our collaborative and casual work environment fosters creativity, continuous learning, and ... Design components for 3D printing, CNC machining, and injection molding * Create integrated electro ...

Sparx Engineering

Mechanical Design Engineer

Houston, TX · On-site

$72K - $98K/yr

Our collaborative and casual work environment fosters creativity, continuous learning, and ... Design components for 3D printing, CNC machining, and injection molding * Create integrated electro ...

All JobsMachine Learning Cfd JobsMachine Learning Cfd Jobs in Pasadena, TX

Machine Learning Cfd information

See Pasadena, TX salary details

$10.1K

$85K

$120.6K

How much do machine learning cfd jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning cfd in Pasadena, TX is $84,989.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $100,500.00 per year, depending on experience, location, and employer.

What is a machine learning CFD?

Machine Learning CFD (Computational Fluid Dynamics) jobs focus on integrating machine learning techniques with traditional fluid dynamics simulations and analyses. Professionals in this field use AI and data-driven models to accelerate simulations, improve prediction accuracy, and optimize fluid flow processes. These roles often require knowledge of both CFD principles and machine learning algorithms, and are commonly found in industries such as aerospace, automotive, and energy. Typical responsibilities include developing surrogate models for simulations, automating data analysis, and implementing deep learning approaches for complex flow problems.

How does a machine learning CFD professional typically collaborate with domain experts and software engineers in a project setting?

As a Machine Learning CFD (Computational Fluid Dynamics) professional, you’ll frequently collaborate with domain experts such as mechanical or aerospace engineers to ensure your models accurately reflect physical phenomena. You’ll also work closely with software engineers to integrate machine learning algorithms into simulation pipelines and optimize computational performance. Effective communication is key, as you’ll need to translate complex data-driven insights into actionable engineering solutions and vice versa. These collaborative efforts help streamline workflows, improve model accuracy, and ensure practical deployment of ML-enhanced CFD tools.

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

To thrive as a Machine Learning CFD Engineer, you need a strong background in fluid dynamics, numerical methods, and machine learning, often supported by a degree in engineering, physics, or computer science. Familiarity with CFD software (such as ANSYS Fluent or OpenFOAM), programming languages like Python or C++, and machine learning frameworks (TensorFlow or PyTorch) is essential. Critical thinking, problem-solving, and effective communication are standout soft skills for interpreting data and collaborating on interdisciplinary teams. These competencies are crucial for developing innovative solutions that enhance simulation accuracy and computational efficiency in engineering projects.

What is the difference between Machine Learning CFD vs Data Scientist?

AspectMachine Learning CFDData Scientist
Required CredentialsDegree in Engineering, Computer Science, or related fields; knowledge of CFD softwareDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentEngineering firms, aerospace, automotive industries, research labsBusiness, finance, tech companies, research institutions
Industry UsageSimulation, fluid dynamics, engineering analysisData analysis, predictive modeling, business insights

Machine Learning CFD focuses on applying machine learning techniques to computational fluid dynamics simulations, often within engineering contexts. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming skills and a strong analytical background, Machine Learning CFD emphasizes simulation and engineering applications, whereas Data Scientists focus on data-driven decision-making across diverse sectors.

What are popular job titles related to Machine Learning Cfd jobs in Pasadena, TX?

For Machine Learning Cfd jobs in Pasadena, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Pasadena, TX look for?

The top searched job categories for Machine Learning Cfd jobs in Pasadena, TX are:

What cities near Pasadena, TX are hiring for Machine Learning Cfd jobs?

Cities near Pasadena, TX with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you

Mechanical Engineering Intern

MetOx International, Inc.

Houston, TX • On-site

$18 - $24/hr

Internship

Re-posted 4 days ago

Job description

Empower Your Future: At MetOx International, we're pioneering the next era of energy security and abundance through breakthrough superconducting technology. As a Mechanical Engineering Intern, you'll join a dynamic team committed to strengthening the world's energy systems to make them more resilient, efficient, and reliable.
Based at our global headquarters in Houston, TX, the Mechanical Engineering Intern will support the design, development, and testing of mechanical systems and equipment that enable advanced manufacturing and product development at MetOx. Working closely with experienced engineers, this role provides hands-on exposure to engineering design, data analysis, and problem-solving in a fast-paced technical environment. The intern will contribute to active engineering projects while gaining practical experience in mechanical design, equipment development, and cross-functional collaboration within a cutting-edge materials and manufacturing environment. This position reports to the Manager of Mechanical Engineering.
Key Responsibilities
  • Mechanical Design & Engineering Support
    • Supports the design and development of mechanical components and assemblies related to Balance of Plant (BoP) systems and other engineering projects.
    • Creates and modifies 3D models, assemblies, and detailed drawings using SolidWorks.
    • Assists engineers in evaluating design concepts and implementing design improvements to support equipment alignment, functionality, and manufacturability.
  • Engineering Analysis & Documentation
    • Assists with basic engineering analysis and interpretation of simulation outputs, including FEA or CFD results, to support design decisions.
    • Prepares technical documentation, drawings, and reports to support project execution and engineering reviews.
    • Utilizes Microsoft Office tools to organize project data, track progress, and communicate findings.
  • Collaboration & Continuous Learning
    • Works with cross-functional engineering teams to understand project requirements and translate them into mechanical design solutions.
    • Participates in design discussions, technical reviews, and problem-solving activities with engineers and technical staff.
    • Stays curious and engaged in learning new engineering tools, technologies, and best practices to support personal development and team success.
  • Other duties as assigned.

Minimum Qualifications:
  • Actively enrolled in a bachelor's degree program in mechanical engineering, electrical engineering, or a related field at an accredited university, with sophomore standing or above.

Preferred Qualifications:
  • Previous internship or relevant work experience.

Knowledge, Skills, & Abilities:
  • Machine design and/or electrical control and system engineering.
  • Proficiency in office software, including Microsoft Office Suite.
  • Proficiency using SolidWorks or equivalent 3D modeling software.
  • Ability to read FEA/CFD results.
  • Strong organizational and time management skills.
  • Ability to work independently as well as part of a team.

Eagerness to learn and contribute to meaningful projects.
Physical Demands: This position requires sitting at a desk and viewing a computer screen for extended periods while working or performing other office tasks. Ability to move around the office, including occasional standing, walking, and bending to retrieve documents, attend meetings, or use office equipment. Some light lifting may be required, up to 20 lbs.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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