CFD for Liquid Cooling Simulation/Immerse Cooling simulation * Do analysis and correlation of ... Develop the state of art simulation methodology such as AI and machine learning algorithm ...
CFD for Liquid Cooling Simulation/Immerse Cooling simulation * Do analysis and correlation of ... Develop the state of art simulation methodology such as AI and machine learning algorithm ...
Experience and skills in CFD and liquid cooling * Knowledge and experience of CAD concepts and ... Develop the state of art simulation methodology such as AI and machine learning algorithm ...
Experience and skills in CFD and liquid cooling * Knowledge and experience of CAD concepts and ... Develop the state of art simulation methodology such as AI and machine learning algorithm ...
Machine Learning Cfd information
See Phoenix, AZ salary details
$10.9K - $21.8K
0% of jobs
$21.8K - $32.8K
0% of jobs
$32.8K - $43.7K
10% of jobs
$43.7K - $54.6K
0% of jobs
$54.6K - $65.5K
0% of jobs
$65.5K - $76.5K
7% of jobs
$81.1K is the 25th percentile. Wages below this are outliers.
$76.5K - $87.4K
18% of jobs
The median wage is $93.5K / yr.
$87.4K - $98.3K
27% of jobs
$107K is the 75th percentile. Wages above this are outliers.
$98.3K - $109.2K
16% of jobs
$109.2K - $120.1K
19% of jobs
$120.1K - $131.1K
3% of jobs
$10.9K
$92.4K
$131.1K
How much do machine learning cfd jobs pay per year?
As of Jun 16, 2026, the average yearly pay for machine learning cfd in Phoenix, AZ is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $109,200.00 per year, depending on experience, location, and employer.
What are Machine Learning CFD jobs?
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 is the difference between Machine Learning CFD vs Data Scientist?
| Aspect | Machine Learning CFD | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Engineering, Computer Science, or related fields; knowledge of CFD software | Degree in Statistics, Computer Science, or related fields; strong programming skills |
| Work Environment | Engineering firms, aerospace, automotive industries, research labs | Business, finance, tech companies, research institutions |
| Industry Usage | Simulation, fluid dynamics, engineering analysis | Data 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 the key skills and qualifications needed to thrive as a Machine Learning CFD (Computational Fluid Dynamics) 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 are popular job titles related to Machine Learning Cfd jobs in Phoenix, AZ? For Machine Learning Cfd jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Phoenix, AZ look for? The top searched job categories for Machine Learning Cfd jobs in Phoenix, AZ are:
Full-time
Posted 12 days ago
Onsemi rating
8.0
Based on 18 frontline employees who took The Breakroom Quiz
Job description
Job Description
ON Semiconductor is seeking a self-driven and motivated professional to join their Corporate R & D modeling and simulation team, As a senior advanced semiconductor system level integration simulation engineer, you will have the opportunities to support new package and system integration development and new product design, assembly and process, quality and reliability, and customers in worldwide.
Responsibilities
The successful candidate will have the opportunity to:
Qualifications
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.
ON Semiconductor is seeking a self-driven and motivated professional to join their Corporate R & D modeling and simulation team, As a senior advanced semiconductor system level integration simulation engineer, you will have the opportunities to support new package and system integration development and new product design, assembly and process, quality and reliability, and customers in worldwide.
Responsibilities
The successful candidate will have the opportunity to:
- Do system level integration (cooling system) simulation
- Do electrical-thermal-mechanical interaction for ISG chiplet 3D integration and next generation break-through power module
- CFD for Liquid Cooling Simulation/Immerse Cooling simulation
- Do analysis and correlation of modeling results to measured data
- Develop and maintain the state of art system integration, electrical-thermo-mechanical modeling methodology to improve the modeling work efficiency and accuracy
- Setup and maintain the HW/SW environment for electrical-thermo-mechanical modeling
- Provide support to other electrical-thermo-mechanical modeling users in company
- Innovation of new technology through simulation
- Develop the state of art simulation methodology such as AI and machine learning algorithm, probability and optimization algorithm
Qualifications
- PhD degree in Physics, Mechanical Engineering, Computational Mechanics, Solid Mechanics or Materials
- knowledge and skills of system level cooling simulation
- knowledge of electrical-thermo-mechanical modeling
- Experience and skills in CFD and liquid cooling
- Knowledge and experience of CAD concepts and Solid works
- Familiar with semiconductor packaging and system integration
- Familiar with material electrical, thermal and mechanical properties
- Strong knowledge of problem analysis and diagnosis technique
- Familiar with package test and analysis, quality assurance, and reliability methods
- Ability to perform model correlation to empirical measurement
- Familiar with the Unix/Linux operating system
- Familiar with FEA software ANSYS Fluent, IcePak, mechanical.& multiphysics
- Strong English communication capability
- Strong learning capability
- Good team player
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.
About onsemi
Sourced by ZipRecruiter