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Modeling And Simulation Jobs in Detroit, MI (NOW HIRING)

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

Simulation Engineer

Farmington, MI · On-site

$90K - $130K/yr

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

Simulation Engineer

Farmington, MI · On-site

$90K - $130K/yr

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

Model and analyze production lines, material handling systems, and transportation networks * Conduct simulation studies to evaluate: * Throughput, bottlenecks, and downtime * Delivery routes and ...

Develop, build, and maintain simulation models to support engineering and product development activities. * Analyze simulation results and provide recommendations to improve product performance and ...

Build & construct Discrete-Event Simulation Models or DES or Throughput Simulation or Material Flow Simulation or Flow Simulation for * Automotive Final Assembly , including Tire & Wheel, End of Line ...

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Develop, build, and maintain simulation models to support engineering and product development activities. * Analyze simulation results and provide recommendations to improve product performance and ...

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Modeling And Simulation information

See Detroit, MI salary details

$38.6K

$100.2K

$142.6K

How much do modeling and simulation jobs pay per year?

As of Jul 28, 2026, the average yearly pay for modeling and simulation in Detroit, MI is $100,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $128,200.00 per year, depending on experience, location, and employer.

What jobs use simulation training?

Modeling and Simulation jobs are common in fields such as aerospace, defense, healthcare, and manufacturing, where professionals use simulation software and tools to train, test, or analyze systems. These roles often require skills in programming, data analysis, and understanding complex systems, with certifications in simulation software or related fields enhancing employability.

How to get into 3D modeling as a career?

To pursue a career in 3D modeling, develop skills in software such as Blender, Maya, or 3ds Max through online courses or formal education. Building a strong portfolio showcasing your work and gaining experience through internships or freelance projects are essential steps to enter the field.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Specialist, and why are they important?

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What are some common challenges faced by professionals in Modeling and Simulation roles, and how can they be addressed?

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, aerospace, or petroleum engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership or managerial responsibilities.

Are simulation engineers in demand?

Simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in modeling complex systems and using tools like MATLAB and Simulink. The growing reliance on digital twins, virtual testing, and advanced modeling techniques has increased employment opportunities for these professionals.

What are modeling and simulation jobs?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What are popular job titles related to Modeling And Simulation jobs in Detroit, MI? For Modeling And Simulation jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation jobs in Detroit, MI look for? The top searched job categories for Modeling And Simulation jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Modeling And Simulation jobs? Cities near Detroit, MI with the most Modeling And Simulation job openings:
Infographic showing various Modeling And Simulation job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 5% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $100,240 per year, or $48.2 per hour.

Sr. Engineer - Modeling & Simulation

The Talent Advantage Group

Detroit, MI • On-site

Other

Posted 18 days ago


Job description

2025 Senior Engineer, Modeling and Simulation               

 

Scope of Work & Purpose:

 

We are seeking a subject matter expert that will lead state-of-the art materials development and evaluation through modeling and simulation along with software development, delivering innovative materials and manufacturing solutions for our customers and collaboratively within our member industrial base. This individual will drive innovations in material simulation through collaborative software development to automate and accelerate modeling across multiple domains, including material response as a function of the manufacturing processes (e.g., casting, forging, welding, etc.) and its impact on the resultant structure/properties.

RESPONSIBILITIES

 

•       Develop application-focused performance simulations to support programmatic work within time and budget constraints, internal to company and collaboratively with member organizations.

•       Conceive, develop ideas, and project plans for new, innovative modeling and simulation development programs.

•       Document and communicate development initiatives, including progress and final reports, presentations, conferences, and stakeholder communication.

•       Support program development efforts, including preparation of white papers and proposals.

PREFERRED QUALIFICATIONS

 

•       A Ph.D. or Master’s degree in Materials, Chemistry, Physics, Engineering, Computer Science, or related field with 3-5 years’ experience OR a Bachelor’s degree in these fields with 8-10+ years’ experience.

•       Experience with physics-based modeling of manufacturing processes (i.e., via finite element, computational fluid dynamics methods, etc.) to understand the thermomechanical impact on the material/component.

•       Experience with physics-based modeling to understand how the manufacturing process impacts the structure/properties of a material (e.g., microstructure evolution via CALPHAD, phase field, or cellular automata, etc.).

•       Experience with programming, scientific computing, and object-oriented programming (e.g., C++ and/or Python).

•       Experience working in collaborative coding environment and using tools for version control, continuous integration, and model/code commits/reviews.

•       Experience developing routines around software application programming interfaces (APIs).

•       Experience in software chaining, CAE tool interface(s), GUI construction, I/O and hardware control is a plus.

•       Experience with development of machine learning/artificial intelligence models to accelerate model development is a plus.