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

HVAC Mechanical Engineer

Addison, TX · On-site

$81K - $110K/yr

... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ... Work with advanced simulation teams to develop and interpret the CFD and FEA analysis Collaborate ...

HVAC Mechanical Engineer

Addison, TX · On-site

$81K - $110K/yr

... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ... Work with advanced simulation teams to develop and interpret the CFD and FEA analysis Collaborate ...

Machine Learning Cfd information

See Dallas, TX salary details

$10.9K

$92K

$130.6K

How much do machine learning cfd jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning cfd in Dallas, TX is $92,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $108,800.00 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 cities near Dallas, TX are hiring for Machine Learning Cfd jobs?

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

Infographic showing various Machine Learning Cfd job openings in Dallas, TX as of June 2026, with employment types broken down into 13% As Needed, 55% Full Time, 10% Part Time, 10% Temporary, 6% Contract, and 6% Nights. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $92,013 per year, or $44.2 per hour.

HVAC Mechanical Engineer

AIIR Holdings Inc.

Addison, TX • On-site

$81K - $110K/yr

Full-time

Re-posted 3 days ago


Job description

Job Title: HVAC Mechanical Engineer
Location: 3728 Arapaho Rd Addison, TX 75001
Engagement: Fulltime- Direct Hire
About AIIR:
AIIR focuses exclusively on delivering innovative, sustainable systems that leverage advanced machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers greater energy efficiency compared to traditional systems, intelligently adapting to environmental conditions and occupant needs in real time.
AIIR is committed to creating healthier, more comfortable living spaces through smart technology. Its steadfast dedication to sustainability and innovation drives the development of solutions that improve project outcomes and positively impact the planet.
HVAC Mechanical Engineer:
The Senior HVAC Mechanical Engineer will work within the AIIR HVAC development team, providing product expertise and deep mechanical knowledge that will drive first-of-its-kind HVAC thermal designs that lower acquisition costs, lower lifetime cost of ownership, provide innovative feature sets, and lower energy consumption.
What you will do:
Lead the mechanical design and development of the HVAC unit
Conduct the design and laboratory testing
Follow product schedules and work continuously to meet schedule milestones
Have a deep understanding of the ASHRAE, AHRI, and UL Standards
Work with internal and external resources and companies to bring products to production and implementation.
Work with advanced simulation teams to develop and interpret the CFD and FEA analysis
Collaborate with other individuals in a cross-functional and diverse environment
Prepare technical proposal and reports to review and record
What you should have:
  • In-depth understanding of refrigeration systems and components.
  • Demonstrated Experience developing HVAC unit design, including but not limited to sheet metal, copper tube, cable, composite design
  • Good working knowledge of electrical systems related to power and control.
  • Experience developing appropriate documentation.
  • Experience in a new product development environment.       
  • Demonstrated experience developing advanced control algorithms

Job Qualifications:
  • Minimum bachelor’s degree in mechanical engineering and 2-3 years of relevant experience
  • Effective problem-solving and analytical skills
  • Strong organizational and time management skills
  • Strong verbal and written communication skills
  • Strong knowledge of Fluid Dynamics and Thermodynamics
  • Familiar with the R&D environment
  • Familiar with HVAC industry specifications, standards, and codes

 
 

Ready for Your Next Big Adventure?

If you are a strategic thinker and innovation in the HVAC industry, we want to hear from you! Please submit your resume and a cover letter detailing your relevant experience.
AIIR Products is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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