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Machine Learning Cfd Jobs in Fremont, CA (NOW HIRING)

Open Orion

Head of AI

San Francisco, CA · On-site

The role involves building advanced AI systems that integrate machine learning with engineering ... CFD or FEM solvers • Experience with geometry kernels or parametric CAD APIs • Background in ...

Meta

Thermal Design Engineer

Sunnyvale, CA

$118K/yr

Develop part and sub-system thermal and fan models using CFD and CAD tools * Develop and optimize ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

UniversalAGI

Technical Product Manager

San Francisco, CA · On-site

$196K - $227K/yr

Bridge AI and Engineering: Act as the translation layer between our elite machine learning ... Experience with physical engineering, computational fluid dynamics (CFD), finite element analysis ...

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All JobsMachine Learning Cfd JobsMachine Learning Cfd Jobs in Fremont, CA

Machine Learning Cfd information

See Fremont, CA salary details

$12K

$101.8K

$144.5K

How much do machine learning cfd jobs pay per year?

As of Aug 27, 2026, the average yearly pay for machine learning cfd in Fremont, CA is $101,820.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $120,400.00 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 Fremont, CA?

For Machine Learning Cfd jobs in Fremont, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Fremont, CA look for?

The top searched job categories for Machine Learning Cfd jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Machine Learning Cfd jobs?

Cities near Fremont, CA with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you

Principal AI Data Scientist - Scientific AI & Physics-Informed Machine Learning

Amat

Santa Clara, CA • On-site, Remote

Full-time

Posted 7 days ago

Job description

Who We Are


Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology.


What We Offer


Salary:

$0.00 - $0.00

Location:

Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Key Responsibilities

  • Develop and deploy advanced AI/ML solutions for semiconductor process and device simulations, Electronic Design Automation (EDA), packaging, reliability, and manufacturing applications.

    Create physics-informed and hybrid AI models that integrate experimental data, simulation outputs, and domain knowledge.

  • Build surrogate models and scientific machine learning frameworks to accelerate computationally intensive simulations and engineering workflows.

  • Research and apply state-of-the-art techniques including deep learning, generative AI, graph neural networks, neural operators, and foundation models.

  • Collaborate with semiconductor experts, software engineers, and product teams to transition research into production solutions.

  • Drive innovation through patents, publications, and technical leadership across STM and Applied Materials.

  • Effective technical verbal/written communication representing the org with limited supervision. Ability to collaborate with internal stakeholders, customers and vendors.
  • Able to follow complex program schedules, budgets, and milestones with limited supervision.
  • Collaborates/participate in discussions to solve interdisciplinary technical issues in a cross-functional team environment.

Required Qualifications

  • PhD in Electrical Engineering, Physics, Materials Science, Computer Science, Applied Mathematics, Computational Science, or related discipline.

  • Strongexpertisein machine learning, deep learning, statistical modeling, and scientific computing.

  • Hands-on experience with Python and modern AI frameworks such asPyTorch, TensorFlow, or JAX.

  • Strong background in numerical methods, optimization, simulation, or computational modeling.

  • Excellent communication skills and ability to work across multidisciplinary teams.

Preferred Qualifications

  • Semiconductor industry experience in process, device, reliability, metrology, packaging, EDA, or manufacturing.

  • 5+ years of experience developing advanced AI/ML algorithms for scientific or engineering applications.

  • Experience with Physics-Informed Neural Networks (PINNs), neural operators, surrogate modeling, uncertainty quantification, or digital twins.

  • Familiarity with TCAD, FEM, CFD, Monte Carlo,multiphysicssimulation, or scientific computing environments.

  • Experience with foundation models, generative AI, multimodal learning, or graph neural networks.

  • Strong publication and/or patent recorddemonstratingtechnical innovation and thought leadership. The backgroundwe'retargeting issimilar tosenior researchers who combine semiconductor device physics, computational modeling, and advanced AI research

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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