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Machine Learning Cfd Jobs (NOW HIRING)

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 ...

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 · 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 · 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 ...

Envision Energy

Conceptual Blade Design Engineer

Boulder, CO · On-site

$115K - $150K/yr

... machine learning. * Understanding of fundamental aerodynamics as it relates to low Mach, steady and ... Perform 2D/3D blade and airfoil CFD using panel-methods and/or commercial CFD solvers * Performing ...

Envision Energy

Conceptual Blade Design Engineer

Boulder, CO · On-site

$115K - $150K/yr

... machine learning. * Understanding of fundamental aerodynamics as it relates to low Mach, steady and ... Perform 2D/3D blade and airfoil CFD using panel-methods and/or commercial CFD solvers * Performing ...

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How much do machine learning cfd jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning cfd in the United States is $93,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,500.00 and $110,000.00 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?

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.
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What cities are hiring for Machine Learning Cfd jobs? Cities with the most Machine Learning Cfd job openings:
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Machine Learning Cfd jobs near you
Infographic showing various Machine Learning Cfd job openings in the United States as of July 2026, with employment types broken down into 4% Locum Tenens, 48% Full Time, 1% Part Time, 1% Contract, 38% Nights, and 8% Summer. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.
Software Engineer, Simulation

Software Engineer, Simulation

SpaceX

Hawthorne, CA • On-site

Full-time

Re-posted 14 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

7th of 61 rated aerospace companies

Job description

Job Summary:
SpaceX is a company focused on developing technologies for human life on Mars. They are seeking a Software Engineer specializing in simulation to enhance their multiphysics simulation engine, which supports various manufacturing processes. The role involves software architecture, optimization, and collaboration with cross-functional teams to improve simulation capabilities.
Responsibilities:
• Own software architecture and quality of simulation software used across SpaceX.
• Develop and optimize next-generation software that integrates CFD tools, meshing software, and CAD platforms for multiphysics simulations; contribute to transitioning results viewing to web-based 3D tooling.
• Build advanced interfaces for viewing and interpreting simulation results.
• Troubleshoot and debug issues related to software integration, meshing quality, and simulation accuracy.
• Leverage machine learning and AI solutions—such as surrogate modeling and physics-informed neural networks—to accelerate simulations, enhance efficiency, drive novel improvements, increase part yield, reduce inspection burden, and optimize parts.
• Collaborate with cross-functional teams to implement new features and automate processes.
• Conduct testing and validation of simulation results using industry-standard benchmarks.
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or STEM discipline; OR 5+ years of professional experience building software in lieu of a degree.
• 2+ years of software development experience.
• 2+ years of strong C++ software engineering experience.
• 1+ years of experience leveraging Python for data analysis.
• Ability to work extended hours and weekends as necessary.
• Ability to travel to other SpaceX sites as needed (up to 20%).
Preferred:
• Experience working with numerical solvers for complex physics domains (e.g., tools like OpenFOAM, ANSYS Fluent, COMSOL Multiphysics).
• Strong meshing skills for complex simulations (e.g., tools like NX, ANSYS Meshing, SnappyHexMesh).
• Demonstrated experience applying machine learning and AI solutions (e.g., surrogate modeling, physics-informed neural networks, Fourier neural operators, neural operators, graph neural networks etc) to accelerate simulations.
• Experience with visualization tools (ParaView, VisIt, Tecplot) and web-based 3D tooling (e.g., Three.js).
• Experience with web development frameworks such as Flask, SQLAlchemy, and FastAPI.
• Front-end experience in React or similar JavaScript UI frameworks.
• Database experience with PostgreSQL, SQL Server, or similar database technologies.
• Good understanding of version control, testing, continuous integration, build, deployment, and monitoring.
• Strong Linux experience.
• Knowledge of high-performance computing (HPC) environments and parallel processing.
• Strong problem-solving abilities and attention to detail for optimizing simulation efficiency.
• Excellent communication skills for documenting code and collaborating in team settings.
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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