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Machine Learning Cfd Jobs (NOW HIRING)

3ds

INTERNSHIP: AI for CFD

Waltham, MA · On-site

Validate machine learning surrogate models against high-fidelity CFD simulations and experimental data where appropriate * Test and validate new CFD solver capabilities, including verification of ...

Ksb

Machine Learning Engineer

Grovetown, GA

Machine Learning Engineer KSB GIW, Inc. Department: Engineering, Research & Development Reports to ... Background in CFD, simulation, computational mechanics, or applied physics * Familiarity with ...

3ds

CFD Product Manager

Waltham, MA · On-site

Advances in AI and machine learning are increasingly shaping the future of simulation-driven design. This role contributes to integrating these technologies into established CFD workflows in a ...

Dassault Systèmes

CFD Product Manager

Waltham, MA · On-site

... machine learning • Translate product strategy into well-defined requirements, user stories, and ... optimize CFD simulations • Contribute to defining workflows where LLMs + physics models ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114K - $157K/yr

Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced ... Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data ...

PhysicsX

Principal CFD Engineer

New York, NY · On-site

You're confident setting up CFD simulations independently, interpreting complex results with depth ... This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers ...

University of Miami

Post Doctoral Associate

Miami, FL

$46K - $63K/yr

AI/ML Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the ...

The University of Miami

Post Doctoral Associate

Miami, FL · On-site

$46K - $63K/yr

AI/ML Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the ...

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Machine Learning Cfd information

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$93K

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How much do machine learning cfd jobs pay per year?

As of Aug 6, 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 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 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 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.
More about Machine Learning Cfd jobs
What cities are hiring for Machine Learning Cfd jobs? Cities with the most Machine Learning Cfd job openings:
What states have the most Machine Learning Cfd jobs? States with the most job openings for Machine Learning Cfd jobs include:
What job categories do people searching Machine Learning Cfd jobs look for? The top searched job categories for Machine Learning Cfd jobs are:
Machine Learning Cfd jobs near you
Infographic showing various Machine Learning Cfd job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.

INTERNSHIP: AI for CFD

3ds

Waltham, MA • On-site

Internship

Posted 28 days ago

Job description

Role Description & Responsibilities
Our Dassault Systemes SIMULIA brand provides best-in-class simulation technologies integrated into the 3DEXPERIENCE platform in the most effective way possible. The Fluids group in SIMULIA consists of a world-class group of experts who develop the next generation of fluids solver capabilities. As part of SIMULIA software simulation products, these innovations impact how Computational Fluid Dynamics (CFD) is used in many industrial settings worldwide.
We are looking for a CFD engineer with AI experience who can test and validate our AI-infused fluids technology. This is a paid six month internship/co-op. The position is based at the Dassault Systemes Office at 175 Wyman Street, Waltham, MA.
We are developing the next generation of Computational Fluid Dynamics technologies spanning advanced numerical methods, machine learning surrogate models, and agentic AI capabilities. Our vision is to transform engineering simulation by combining physics-based modeling, data-driven methods, and AI workflows into an integrated engineering platform.
We are seeking a highly motivated intern with interests spanning CFD, artificial intelligence, and product development.
This role offers a unique opportunity to work at the intersection of engineering simulation, AI, and product development. The intern will collaborate closely with software developers, AI engineers, and product managers to evaluate new capabilities, provide technical feedback, and help shape the future direction of AI-enabled engineering software. The position combines rigorous engineering validation with product-focused testing, ensuring that emerging technologies meet the standards required for industrial CFD applications.
We will provide you with the steps, tools, and leadership that will help advance your career at Dassault Systemes and help our customers reach their goals.
In this role you will:
  • Perform industrially-relevant CFD simulations
  • Validate machine learning surrogate models against high-fidelity CFD simulations and experimental data where appropriate
  • Test and validate new CFD solver capabilities, including verification of flow physics across representative engineering applications
  • Evaluate and test emerging AI-driven and agentic CFD workflows
  • Assess the quality, reliability, and usefulness of AI-generated engineering outputs
  • Work directly with developers to identify usability issues, performance gaps, and opportunities for improvement
  • Collaborate with product managers to define validation requirements, prioritize product improvements, and refine future capabilities
  • Document validation results, recommendations, and technical findings for both engineering and product teams

Qualifications
REQUIRED
  • Pursuing a Master's or Ph.D. degree in Mechanical Engineering, Aerospace Engineering, Applied Mathematics, or a related field
  • Strong understanding of CFD fundamentals including Navier-Stokes algorithms and turbulence modeling
  • Experience with one or more CFD tools such as: ANSYS Fluent, STAR-CCM+, OpenFOAM, Simcenter FLOEFD, COMSOL Multiphysics, or similar CFD software
  • Familiarity with AI and machine learning concepts.
  • Ability to work independently and collaboratively within a multidisciplinary team
  • Excellent written and verbal communication skills.
  • Ability to evaluate technical systems critically and provide actionable feedback.

Preferred
  • Experience applying machine learning to engineering or scientific problems
  • Experience developing or validating surrogate models or reduced-order models
  • Familiarity with large language models, generative AI, or agentic AI systems
  • Understanding of AI agents, multi-agent systems, or agentic workflows.
  • Exposure to simulation automation, scripting, or workflow orchestration.
  • Experience with Python and scientific computing libraries.

Shape your career with 3DS! #WeAre3DS
Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $23 and $40 per hour.

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