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Machine Learning Cfd Jobs in Warren, MI (NOW HIRING)

Machine Learning Cfd information

See Warren, MI salary details

$10.3K

$87.4K

$124K

How much do machine learning cfd jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning cfd in Warren, MI is $87,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $103,300.00 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 cities near Warren, MI are hiring for Machine Learning Cfd jobs?

Cities near Warren, MI with the most Machine Learning Cfd job openings:

Infographic showing various Machine Learning Cfd job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,362 per year, or $42 per hour.

Global Technical Specialist--3D Airflow & Combustion

General Motors

Pontiac, MI • On-site

Full-time

Re-posted 17 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,298 frontline employees who took The Breakroom Quiz


Job description

Job Description
Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week, at minimum.
The Role
General Motors is seeking a highly skilled and motivated Engine Combustion & Airflow Technical Specialist to join our Engine Performance and Calibration team. This role is critical in shaping the future of internal combustion engine (ICE) technology through high-fidelity computational fluid dynamics (CFD) simulations. The ideal candidate will have deep expertise in engine airflow, gas exchange, combustion modeling, fuel injection spray, exhaust systems and emissions control, and will contribute to the design and optimization of next-generation gasoline and diesel combustion systems and airpaths.
What You'll Do
  • Lead the technical method development and roadmap for fuel spray, in-cylinder mixture preparation, combustion analysis, exhaust and aftertreatment systems, manifolds and boosting systems.

  • Own scorecards for critical hardware release metrics for combustion, airflow, exhaust systems, aftertreatment, and exhaust sensors

  • Design and optimize combustion chamber geometries for improved efficiency, power output, and emissions performance.

  • Simulate and interpret combustion processes, heat transfer, cold start behavior, and catalyst heating strategies.

  • Provide component-level and/or system-level design recommendations to Hardware & Calibration Technical Specialists based on interpretation of analysis results

  • Own and enhance current standard analysis practices and/or tools to improve prediction fidelity and/or execution speed

  • Lead, execute, and coordinate analysis capability development initiatives, with emphasis on an "all virtual" future

  • Drive testing to support the development of first-time capable analysis techniques

  • Stays abreast of new technology and competitive products

  • Lead cross-functional teams including engine design, calibration, controls, and emissions compliance.

  • Interface with software vendors to convey future needs and impart change

  • Work with leadership, development partners, and PMT Technical Specialists to identify gaps and priorities for analysis growth

  • Seek out state of the art tools and methods and maintain a benchmark of industry capability and trends

  • Lead analysis support for code red and urgent product issue resolution

  • Interface with other virtual groups to establish common processes

  • Communicate status to leadership and escalate issues/roadblocks within the organization, as necessary

  • Represent GM for external collaborations and conferences

Your Skills & Abilities (Required Qualifications)
  • 10+ years' experience with compressible CFD analysis of powertrain-related systems

  • MS in Mechanical Engineering, Aerospace Engineering or a related field with a focus on internal combustion engines or fluid dynamics

  • 7+ years' experience in CFD software (CONVERGE, STAR-CD, STAR-CCM+ or similar) for gasoline or diesel mixture preparation / combustion simulation

  • Highly proficient with ProStar, ICEM, Hypermesh, Tgrid, or equivalent CFD meshing software

  • Highly proficient with Converge, Siemens CCM+ In-Cylinder Solution, StarCD, AVL Fire, or equivalent CFD software

  • Highly proficient with Ensight, ProStar or equivalent CFD post-processing software

  • Proficient in programming (Java, MATLAB, Python), workflow automation, and customization of tools surrounding main vendor software

  • Strong understanding of engine combustion testing, data acquisition and analysis

  • Demonstrated experience leveraging machine learning, advanced statistical methods, model-based calibration and/or multi-disciplinary CAE optimization

What Will Give You A Competitive Edge (Preferred Qualifications)
  • PhD in Mechanical Engineering or related fields

  • Proficient in application of machine learning, data driven modeling techniques in context of engine simulations

  • Proficient with GT-Power, WAVE, AVL Boost, or equivalent 1D engine simulation software

  • Experience with hands-on engine testing, data acquisition and calibration tools (AVL Concerto, Indicom, ETAS)

This job may be eligible for relocation benefits
#LI-LG2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908