1

Machine Learning Cfd Jobs in Wisconsin (NOW HIRING)

Machine Learning Cfd information

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.

What are popular job titles related to Machine Learning Cfd jobs in Wisconsin? For Machine Learning Cfd jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Cfd jobs in Wisconsin look for? The top searched job categories for Machine Learning Cfd jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Cfd jobs? Cities in Wisconsin with the most Machine Learning Cfd job openings:

Sr Simulation & Analysis Engineer, CFD & Thermal Analysis

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago


Job description

Job Description:
Sr. Simulation & Analysis Engineer- CFD & Thermal Analysis
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our electrical engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
The Senior Simulation & Analysis Engineer will use their significant design and analysis background to analyze air flow on power tool components and assemblies - offering fast, reliable recommendations for revisions to increase robustness and optimize performance, weight, size, and cost. The ideal candidate will be strong in mechanical design with a passion for CFD & Thermal Analysis.
You'll also be DISRUPTIVE through these duties and responsibilities:
  • Directly support New Product Development and Advanced Engineering projects with CFD (Computational Fluid Dynamics) & Thermal Analysis of components and assemblies
  • Consult with teams on machine performance and boundary conditions
  • Perform corollary testing to validate CFD and Thermal Analysis predictions
  • Recommend geometry or material changes for design robustness as well as performance, weight, size, and cost optimizations
  • Complete analysis on competitive parts and products
  • Be highly agile - use highly effective communication skills to quickly understand the depth of work required and provide trade-offs of accuracy versus time to complete analysis. Articulate and prioritize time constraints where needed
  • Will receive analysis requests from a variety of team members - must be strong in prioritization, timing, and scope discussions
  • Mentor, train, and share knowledge to increase overall CFD capabilities of the department & organization

What TOOLS you'll bring with you:
  • Bachelor of Science Degree in Mechanical Engineering
  • 5+ years of mechanical design experience
  • 3+ years of Computational Fluid Dynamics experience
  • Proficient in CAD - NX (preferred), Solidworks, or similar
  • Strong proficiency in the CFD/thermal analysis theory
  • Substantial experience with CFD & Thermal Simulation Software (ANSYS Eco System CFX & Fluent Preferred)
  • Ability to quickly grasp component and assembly functionality, determine performance/load cases and constraints, and execute analysis with varying levels of complexity depending on criticality and timing to New Product Development team members
  • Highly motivated self-driver with never satisfied, always improving attitude
  • Strong root cause and failure analysis aptitude
  • Candidate must have a strong design background paired with Computational Fluid Dynamics & Thermal experience

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service. • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.