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Machine Learning Cfd Jobs in California (NOW HIRING)

Mechanical Engineer

Santa Clara, CA · On-site

$124K - $171K/yr

We empower our team to push the boundaries of what is possible-while learning every day in a ... Validate solutions using firstprinciples hand calculations and simulation tools (e.g., FEA / CFD ...

Mechanical Engineer IV

Santa Clara, CA · On-site

$147K - $202.50K/yr

We empower our team to push the boundaries of what is possible-while learning every day in a ... Validate solutions using firstprinciples hand calculations and simulation tools (e.g., FEA / CFD ...

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Machine Learning Cfd information

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.

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 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.

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 California? For Machine Learning Cfd jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in California look for? The top searched job categories for Machine Learning Cfd jobs in California are:
What cities in California are hiring for Machine Learning Cfd jobs? Cities in California with the most Machine Learning Cfd job openings:
Infographic showing various Machine Learning Cfd job openings in California as of May 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Temporary. Highlights an 87% Physical, 8% Hybrid, and 5% Remote job distribution.
Supervisor, Mechanical Design Engineer

Supervisor, Mechanical Design Engineer

Curtiss-Wright

Brea, CA • On-site

$145.20K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Curtiss-Wright rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

87th of 415 rated machine equipment manufacturers


Job description

Supervisor, Mechanical Design Engineer **SIGN ON BONUS**
As a supervisor of design engineering, you will lead and guide a team of mechanical design engineers. This team is part of the Engineering Group and provides products to advanced power plant designs including Small Modular Reactors and Generation IV nuclear power plants, as well as existing power plants with decades of experience, in both domestic and international markets. In this role, you will perform a variety of engineering tasks including supporting the engineering department to guide the development of technical solutions for emerging problems. You will do this for our existing products as well as new product development. The position involves working with valves, actuators, and similar mechanical equipment and structures utilized in nuclear power plants.
Location: Brea, CA
Salary: $ 108,900-$145,200
Please note that the salary range information provided is a general guideline only, reflecting a position based in California. Criteria such as the candidate's qualifications and relevant experience, the scope of the specific position, as well as market and business considerations will be evaluated when extending an offer.
We Take Care of Our People
Paid Time Off I 401K with Employer Match and Profit Sharing I Health and Wellness Benefits I Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I Employee Stock Purchase Plan I Inclusive & Supportive Culture *
Your Challenge:
What You Bring:
  • Design parts and assemblies for various product lines (e.g. valves, hydraulic assemblies, and actuators)
  • Create schematic, and assembly drawings using Solidworks or AutoCAD
  • Review manufacturing drawings for parts and determine manufacturing processes and specify tolerancing requirements
  • Develop engineering solutions and proposal documentation for RFQs and RFIs
  • Collaborate with the analysis team on parts or assemblies that require FEA or CFD
  • Communicate with customers on project and design related challenges
  • Required travel time is less than 5%

What You Bring:
  • 12+ years of Mechanical Design experience
  • Knowledge and experience in industrial and machine design
  • Lead roles in product development and put into practice various engineering processes listed below.
  • Understanding of different manufacturing processes: casting, machining, grinding, lapping, additive manufacturing, sheet metal fabrication etc.
  • Proficiency in GD&T and related standards for drawing creation
  • Proficiency in engineering processes (e.g. DFMA, DMAIC, FMEA, tolerance stack-up analysis, etc.)
  • In-depth understanding of ASME standards pertaining to valve design
  • Proficiency in AutoCAD for layout and schematics is a plus
  • Familiarity with nuclear industry standards (ASME, ANSI, API, IEEE etc.) is a plus
  • Familiarity with industrial hydraulics and electrical equipment is a plus
  • Familiarity with mean time to failure (MTTF) or mean time before failure (MTBF) concepts related to product quality and reliability is a plus

Who We Are
Our Values
Environmental, Social and Governance
Enertech, a business unit of Curtiss-Wright, is a global leader in providing valves, actuators, snubbers, pipe restraints, instrumentation, diagnostics and test equipment to the Nuclear Power Industry. Our employees are highly motivated, self-starters and able to work in a fast-paced team environment where critical and tight deadlines are common, and Customer Satisfaction is our foremost mission. https://www.cwnuclear.com/brands/enertech/default.aspx
*Please note, benefits are country specific and may vary from location to location.
#LI-YA1
No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Resumes submitted directly to any Curtiss-Wright employee or affiliate will not qualify for fee payment, and therefore become the property of Curtiss-Wright.
Compliance Statement
This position may require exposure to export-controlled information and subject to additional security screening. In the event information provided during the security screening reveals ineligibility to access export-controlled information, any offer of employment may be reconsidered or withdrawn.
Curtiss-Wright is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, sexual orientation, gender identity, physical or mental disability, age, ancestry, legally protected medical condition, family care status, marital status, religion, veteran status, national origin, or any other legally protected status. If you require accommodation during the recruitment process, please contact Talent Acquisition.
For US Applicants: EEO is The Law - click here for more information.
If you require accommodation due to a disability at any time during the recruitment and/or assessment process, please contact Talent Acquisition and we will make all reasonable efforts to accommodate your request.

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About Curtiss-Wright

Sourced by ZipRecruiter

Curtiss-Wright Actuation Division designs, manufactures and supports electro-mechanical actuation products and systems for use in demanding applications in Aerospace, Defense and Industrial Automation markets. Our market leading solutions help improve the reliability, efficiency and performance of our customers' operations and platforms, as well as reducing their environmental impact with energy efficient electro-mechanical designs and technology. For the Aerospace market, we supply actuation systems for flight control, landing gear, utility and other applications on both commercial and military aircraft. In Ground & Naval Defense markets, we support a wide array of applications ranging from door assist, ramp and hatch actuation, weapons handling systems, radar and launch platform actuation, and robotic (AUV/ROV) actuation. In Industrial Automation, our Exlar® actuators are globally recognized as a leading brand offering high power density, precision and reliability for machine/process applications in automotive, food & beverage, oil & gas, robotics, entertainment and many other industries.

Industry

Computer and electronic product manufacturing

Company size

5,001 - 10,000 Employees

Headquarters location

Davidson, NC, US

Year founded

1929

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