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Machine Learning Cfd Jobs in Green Bay, WI (NOW HIRING)

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Machine Learning Cfd information

See Green Bay, WI salary details

$10.7K

$90.5K

$128.4K

How much do machine learning cfd jobs pay per year?

As of Aug 26, 2026, the average yearly pay for machine learning cfd in Green Bay, WI is $90,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $107,000.00 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 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 Green Bay, WI?

For Machine Learning Cfd jobs in Green Bay, WI, the most frequently searched job titles are:

What job categories do people searching Machine Learning Cfd jobs in Green Bay, WI look for?

The top searched job categories for Machine Learning Cfd jobs in Green Bay, WI are:

What cities near Green Bay, WI are hiring for Machine Learning Cfd jobs?

Cities near Green Bay, WI with the most Machine Learning Cfd job openings:

Machine Learning Cfd jobs near you

Lead Engineer- Modeling & Simulation

Faith Technologies Inc

Menasha, WI • On-site

$120 - $160/hr

Other

Re-posted 18 days ago

Faith Technologies rating

8.0

Company rating: 8.0 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

209th of 450 rated engineering

Job description

Modeling and Simulation Lead Engineer

Overview

Responsible for developing advanced modeling and simulation environments for electrical, thermal, and mechanical systems and enclosures used in distributed energy resources and power distribution. Work closely with subject matter experts, product strategy teams, and systems engineers to create accurate, efficient simulations that support product development and drive innovation.

Key Responsibilities
  • Develop physics‑based modeling and simulation environments for a variety of electrical, thermal, and mechanical systems.
  • Develop FEA or CFD simulations of critical components and structures to optimize robustness and cost.
  • Conduct product architecture trade studies and optimization to maximize performance and minimize cost.
  • Integrate cost, weight, and specification data of components, systems, and renewable energy fuels into simulation models for techno‑economic analysis.
  • Collaborate with subject matter experts to characterize components and systems in a simulation environment and communicate analysis results.
  • Utilize DOE, optimization methods, and data‑driven modeling and analysis tools.
  • Use models and simulation platforms to verify and validate controls software.
  • Perform other related duties as required and assigned.
Requirements
  • Master’s degree in electrical engineering, mechanical engineering, or equivalent.
  • 8+ years of experience in systems simulation.
  • Knowledge of multi‑physics modeling software (e.g., Simulink, Simscape, SimcenterAmesim, GTSuite) or experience with CFD software.
  • Proficient in HIL, MIL, and/or SIL simulation platforms.
  • Strong understanding of renewable energy systems including solar, wind, power, or power distribution concepts.
  • Demonstrated implementation of real‑world power generation and distribution problems into complex modeling and simulation platforms.
  • Demonstrated development and implementation of modular component models with scalable flexibility.
  • Experience with machine learning models generated from data (a plus).
  • Experience developing SIL, MIL, and HIL platforms for verification and validation of controls software.
  • Experience with multi‑physics, CFD, or finite element analysis software for design.
  • Strong understanding of control systems, battery management, thermal system management, and energy management software.
  • Experience using version control for modeling and simulation (e.g., Git).
  • PhD in electrical or mechanical engineering with demonstrated simulation experience, or a demonstrated engineering research background.
Travel & Work Conditions
  • Travel: 5‑10%
  • Work Schedule: 7AM – 5PM, Monday‑Friday, with flexibility to meet business needs.
  • Location: Menasha, WI (onsite, 3days per week).

Faith Technologies, Inc. is an Equal Opportunity Employer – veterans/disabled.

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