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Machine Learning Cfd Jobs in California (NOW HIRING)

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... simulation engine, applying machine learning and AI to improve manufacturing processes ... CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to ... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to ... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ...

JetZero

Senior Aerodynamics Design Engineer

Long Beach, CA · On-site

$195K - $220K/yr

Conduct CFD simulations to assess aerodynamic performance under various conditions. * Develop ... Hands-on experience with optimization techniques (DOE, adjoint methods, machine learning-assisted ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to ... machine learning and AI solutions--such as surrogate modeling and physics-informed neural networks ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

Strong C++ software engineering skills and experience applying machine learning (ML) and AI to ... Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA

$145K - $175K/yr

Strong C++ software engineering skills and experience applying machine learning (ML) and AI to ... Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

Strong C++ software engineering skills and experience applying machine learning (ML) and AI to ... Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD ...

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All JobsMachine Learning Cfd JobsMachine Learning Cfd Jobs in California

Machine Learning Cfd information

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?

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 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 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:
Machine Learning Cfd jobs near you
Infographic showing various Machine Learning Cfd job openings in California as of June 2026, with employment types broken down into 79% Full Time, 11% Part Time, 3% Temporary, 5% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.
Senior Aerodynamics Design Engineer

Senior Aerodynamics Design Engineer

JetZero

Long Beach, CA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

What You'll Do:
  • Conduct CFD simulations to assess aerodynamic performance under various conditions.
  • Develop aerodynamic shapes and configurations to meet performance, efficiency, and stability goals.
  • Utilize optimization methods (adjoint-based, gradient-free, surrogate modeling) for design enhancements.
  • Collaborate with multidisciplinary teams (structures, propulsion, systems) for integrated design solutions.
  • Analyze wind tunnel and flight test data to validate CFD predictions and enhance modeling accuracy.
  • Assist in tool development and process automation for CFD workflows and optimization frameworks.
  • Document findings, provide technical recommendations, and present results to engineering teams and leadership.
What You Bring:
  • Bachelor's, Master's, or PhD in Aerospace Engineering, Mechanical Engineering, or a related field.
  • 10-15 years demonstrated experience in aerodynamic analysis, CFD simulation, and design optimization.
  • Familiarity with commercial and/or open-source CFD tools (e.g., ANSYS Fluent, STAR-CCM+, OpenFOAM, SU2).
  • Strong understanding of turbulence modeling, meshing strategies, and numerical methods.
  • Hands-on experience with optimization techniques (DOE, adjoint methods, machine learning-assisted optimization).
  • Proficiency in Python, MATLAB, or similar languages for data processing and automation.
  • Analytical mindset with attention to detail and problem-solving skills.
  • Ability to thrive in a collaborative, multidisciplinary environment.
Preferred Skills (Nice to Have):
  • Experience with high-fidelity CFD (LES/DES) or aero-acoustics analysis.
  • Familiarity with multidisciplinary optimization (MDO) frameworks.
  • Background in experimental aerodynamics or wind tunnel testing.
  • Previous experience in blended wing body technologies
  • Experience in HPC (High Performance Computing) environments.
Compensation: 

Our compensation package is a blend of base salary and equity options for eligible employees. The range for this role is $195,000-$220,000. We consider a number of factors when presenting a final offer, including geography, internal equity and years of experience and expertise.  

Benefits 
  • Unlimited PTO 
  • 10 paid holidays 
  • 401(k) 
  • Medical, Dental, Vision
  • Disability Insurance 
  • Life Insurance 
  • Equity tax advisory services 
  • Supportive work culture 

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