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Machine Learning Cfd Jobs (NOW HIRING)

North Wind

CFD Engineer

Newport News, VA · On-site

Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results. * Support the structural and thermal analysis teams by deriving pressure and ...

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 ...

PhysicsX

Senior CFD Engineer - Turbomachinery

New York, NY · On-site

$110K - $149.30K/yr

Who We're Looking For As a Senior CFD Engineer with deep expertise in Turbomachinery, you are a ... This Role In this role, you'll work closely with our Data Scientists, Machine Learning Engineers ...

PhysicsX

Senior Machine Learning Engineer

New York, NY · On-site

$114.30K - $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 ...

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How much do machine learning cfd jobs pay per year?

As of May 31, 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 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.

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 May 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Temporary. Highlights an 87% Physical, 8% Hybrid, and 5% Remote job distribution, with an average salary of $93,015 per year, or $44.7 per hour.
CFD Engineer

CFD Engineer

North Wind

Newport News, VA • On-site

Full-time

Posted 14 days ago

Job description

Join North Wind – Accelerating Hypersonic Innovation

At North Wind, we are advancing hypersonic technologies through cutting-edge research, system development, and flight testing. Our team drives innovation in high-speed aerodynamics, propulsion systems, and mission-critical components, supporting every phase of hypersonic programs—from R&D to flight testing. If you are passionate about pushing technological boundaries in a dynamic environment, we invite you to join us.

CFD Aerospace Engineer

The Computational Fluid Dynamics (CFD) Aerospace Engineer is a key contributor who develops and executes high-fidelity simulations to analyze aerodynamic performance, thermal environments, and complex flow physics for high-speed aerospace systems. This role supports system design and optimization by delivering accurate numerical insights validated against physical models and test data, while collaborating closely with multidisciplinary engineering teams.

Responsibilities:

  • Develop, set-up, and execute CFD simulations using commercial or open-source solvers for high-speed aerospace system problems, including external and internal flows.
  • Create aerodynamic databases for vehicle trajectory simulations and performance models.
  • Perform analysis of internal flows of airbreathing propulsion flowpaths, including high-speed inlet systems with complex shock / boundary layer interactions and chemically reacting / combusting flows.
  • Develop and recommend design solutions to optimize aerodynamic performance and operability for high-speed systems.
  • Apply advanced data science techniques with machine learning to build surrogate models of CFD simulation results.
  • Support the structural and thermal analysis teams by deriving pressure and aerothermal boundary conditions from CFD solutions.
  • Support multidisciplinary design optimization (MDO) efforts, including integration of CFD-generated models with propulsion, structures, and controls simulations.
  • Interpret and validate CFD simulation results against experimental data, translating findings into actionable insights in collaboration with multi-discipline teams.
  • Contribute to process improvements by recommending advanced CFD methods, trajectory tools, optimization algorithms, or workflow enhancements.
  • Prepare clear technical documentation, analysis summaries, charts, and presentations for internal reviews and external stakeholders.
  • Interface with customer technical representatives to review and discuss analysis activities and results.

Preferred Education / Experience:

  • Bachelor’s degree in aerospace engineering or a related field.
  • 5+ years of experience in computational fluid dynamics (CFD) applied to aerospace systems; or a combination of education and experience equivalent to above.

Preferred Knowledge / Ability:

  • Must be a self-starter, able to work on multiple projects, and prioritize workload.
  • Proficient in CFD tools such as Pointwise and Tecplot for mesh generation software and post-processing results and familiarity with solvers such as VULCAN, CFD++ and CART3D
  • Strong programming skills for modeling and analysis (e.g., Python, MATLAB / Simulink, Fortran, or C++), including scripting for automation of simulations and data reduction.
  • Experience generating aerodynamic data for trajectory simulation, mission analysis, and performance trade studies.
  • Experience with multidisciplinary design optimization frameworks and tools.
  • Familiarity with high-performance computing (HPC) for large-scale CFD simulations, including operating in a Linux environment.
  • Experience with testing and supporting the design of instrumentation layouts and test matrices for CFD comparisons and model validation.
  • Strong written and verbal communication.
  • Strong analytical mindset with rigorous attention to validation, verification, and engineering accuracy.
  • Proficiency in interpreting engineering plans, technical drawings, and specifications.
  • Active U.S. security clearance preferred; candidates must be U.S. citizens and eligible to obtain and maintain a clearance.
  • Working knowledge of CAD systems, preferably Solidworks.



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About North Wind Group

Sourced by ZipRecruiter

North Wind Group is a renowned engineering, construction, environmental, and technical services firm based in Idaho Falls, ID, United States. This U.S owned firm, with its robust portfolio, offers a wide range of services including, but not limited to, infrastructure, waste management, remediation, environmental, and construction services. North Wind Group was established in 1997 and since then, it has expanded its operations across the United States, becoming a national provider of high-quality, cost-effective technical and engineering solutions. The company's core values express its commitment to safety, integrity, customer service, innovation, and teamwork, which are all critical to its mission of delivering innovative and sustainable solutions aimed to protect the environment and improve the lives of communities.

Industry

Government relations and lobbying services

Company size

501 - 1,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1997

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