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Computational Engineering Jobs in Michigan (NOW HIRING)

... Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related field. Strong background in computational fluid dynamics, fluid mechanics, and numerical methods.

Intern, Model Based Systems Engineering

Novi, MI · On-site

$15.75 - $20.50/hr

The intern will explore integration of MBSE practices with computational geometry, AI/ML methods ... Combine your knowledge of Model Based Systems Engineering and state-of-the-art AI tools to create ...

Intern, Model Based Systems Engineering

Novi, MI · Hybrid

$15.75 - $20.50/hr

The intern will explore integration of MBSE practices with computational geometry, AI/ML methods ... Combine your knowledge of Model Based Systems Engineering and state-of-the-art AI tools to create ...

... Engineering, Aerospace Engineering, Chemical Engineering, Applied Mathematics, or a related field. Strong background in computational fluid dynamics, fluid mechanics, and numerical methods.

Intern, Model Based Systems Engineering

Novi, MI · Hybrid

$15.75 - $20.50/hr

The intern will explore integration of MBSE practices with computational geometry, AI/ML methods ... Combine your knowledge of Model Based Systems Engineering and state-of-the-art AI tools to create ...

Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced ...

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Showing results 1-20

Computational Engineering information

See Michigan salary details

$42.3K

$105.9K

$119.8K

How much do computational engineering jobs pay per year?

As of Jun 10, 2026, the average yearly pay for computational engineering in Michigan is $105,912.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $114,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Computational Engineering position, and why are they important?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What are some common challenges Computational Engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

What is a Computational Engineering job?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What are the most commonly searched types of Computational Engineering jobs in Michigan? The most popular types of Computational Engineering jobs in Michigan are:
What are popular job titles related to Computational Engineering jobs in Michigan? For Computational Engineering jobs in Michigan, the most frequently searched job titles are:
Infographic showing various Computational Engineering job openings in Michigan as of June 2026, with employment types broken down into 4% Internship, 67% Full Time, 13% Part Time, 4% Temporary, 6% Contract, and 6% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $105,912 per year, or $50.9 per hour.
Powertrain CFD Engineer (Star CCM)

Powertrain CFD Engineer (Star CCM)

Detroit Engineered Products

Ann Arbor, MI • On-site

Full-time

Posted 8 days ago


Job description

Job Description: Powertrain CAD Engineer
Position Overview:
We are seeking a skilled Powertrain CAD Engineer to join our dynamic team. The ideal candidate will have a strong background in powertrain systems and components, with specialized expertise in CAD modeling, particularly for castings and complex assemblies. This role focuses on creating, cleaning, and preparing high-quality CAD geometry for simulation and analysis, supporting the development of next-generation powertrain technologies.
Key Responsibilities:
  • Create, modify, and clean up complex 3D CAD models of powertrain components and assemblies, with a focus on cast parts.
  • Prepare and optimize CAD geometry for simulation and analysis workflows.
  • Utilize CAD software for defeaturing, simplification, and surface repair to ensure model readiness for computational analysis.
  • Collaborate with simulation and design engineers to understand requirements and deliver high-quality geometry.
  • Support powertrain development projects from concept through to validation.

Required Qualifications:
  • Bachelor's degree in Mechanical Engineering, Automotive Engineering, or a related field.
  • Proven experience in 3D CAD modeling within the automotive powertrain domain.
  • Strong understanding of powertrain systems and components, especially castings.
  • Proficiency in a major CAD package (e.g., CATIA, NX, SolidWorks).
  • Experience with CAD cleanup, simplification, and preparation for CAE analysis.

Preferred Qualifications:
  • Experience with Siemens StarCCM+ for CAD cleanup and meshing.
  • Familiarity with simulation processes and requirements for fluid dynamics or structural analysis.
  • Strong problem-solving skills and attention to detail.