1

Modeling And Simulation Engineer Jobs in Michigan

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

We are seeking an experienced Simulation Engineer with manufacturing experience, specializing in ... Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real ...

We are seeking an experienced Simulation Engineer with manufacturing experience, specializing in ... Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real ...

Senior Software Simulation Engineer Pay rate: $52- $54/hr. Location: Lansing, MI (Remote) Zip Code ... Build discrete event simulation models (FlexSim preferred) for manufacturing and material flow use ...

Showing results 41-60

Modeling And Simulation Engineer information

See Michigan salary details

$34K

$107.6K

$166K

How much do modeling and simulation engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for modeling and simulation engineer in Michigan is $107,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,200.00 and $127,700.00 per year, depending on experience, location, and employer.

What is a modeling and simulation engineer?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What are the key skills and qualifications needed to thrive as a modeling and simulation engineer?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a modeling and simulation engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

Are modeling and simulation engineers in demand?

Modeling and simulation engineers are in high demand across industries such as aerospace, defense, automotive, and healthcare due to their expertise in developing complex models and simulations. The role often requires proficiency in programming, simulation software, and systems analysis, with job growth driven by technological advancements and increased reliance on virtual testing and training tools.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, often complemented by experience with simulation software, programming languages, and systems modeling. Advanced roles may require a master's degree or higher, along with skills in data analysis, systems engineering, and familiarity with tools like MATLAB, Simulink, or C++. Certifications in systems modeling or simulation can enhance job prospects.

What job categories do people searching Modeling And Simulation Engineer jobs in Michigan look for?

The top searched job categories for Modeling And Simulation Engineer jobs in Michigan are:

What cities in Michigan are hiring for Modeling And Simulation Engineer jobs?

Cities in Michigan with the most Modeling And Simulation Engineer job openings:

Infographic showing various Modeling And Simulation Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $107,554 per year, or $51.7 per hour.

Simulation Engineer 3

Southfield, MI • On-site

$107K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz


Job description


JOB DESCRIPTION:
We are seeking an experienced Simulation Engineer with manufacturing experience, specializing in process optimization, material management, and line optimization. The ideal candidate will play a key role in developing and implementing digital twin models to optimize manufacturing processes, increase efficiency, and reduce costs. This position requires a deep understanding of manufacturing systems, data integration, and the application of simulation technologies.
KEY RESPONSIBILITIES:
  • Develop and deploy digital twin models to replicate physical manufacturing processes, enabling real-time monitoring, simulations, and predictive analytics.
  • Collaborate with cross-functional teams, including operations, process engineering, and IT, to design data-driven solutions that enhance process efficiency and product quality.
  • Identify opportunities for process optimization, material flow improvements, and line balancing by leveraging digital twin simulations.
  • Use predictive analytics to simulate different production scenarios and anticipate potential bottlenecks or inefficiencies.
  • Integrate data from various systems, such as MES, ERP, and IoT devices, into digital twin models to provide accurate, real-time insights.
  • Analyze digital twin outputs to recommend process changes, reduce downtime, optimize material management, and improve overall productivity.
  • Ensure the scalability and adaptability of digital twin models across multiple production lines and facilities.
  • Collaborate with the IT department to ensure secure, efficient data flow between physical systems and their digital counterparts.
  • Support continuous improvement initiatives by identifying areas for cost reduction, yield improvement, and process reliability.
  • Stay up-to-date with industry trends and advancements in digital twin technology, automation, and smart manufacturing.

QUALIFICATIONS:
  • Bachelor's degree in mechanical engineering, Industrial Engineering, or a related field. Advanced degree (master's) is a plus.
  • 8+ years of experience in manufacturing, with a focus on process optimization, material management, and line optimization.
  • Hands-on experience with digital twin technologies, simulation software (e.g., AnyLogic, Simio, or Siemens Tecnomatix), and data analytics tools.
  • Proficiency in using IoT, AI, and machine learning to support digital transformation in manufacturing.
  • Solid knowledge of lean manufacturing, Six Sigma, and other process improvement methodologies.
  • Experience in integrating digital twin models with ERP/MES systems.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and recommend actionable solutions.
  • Excellent communication and interpersonal skills, with the ability to work effectively across teams.

BENEFITS SUMMARY:
  • Medical, Dental, Vision, Prescription Drug plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer Opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary: $107,000 - $133,000
Responsibilities
  • Lead the development and maintenance of digital twin models representing manufacturing processes.
  • Conduct simulation studies for production scenarios, material flow, and line balancing.
  • Collaborate with cross-functional teams to design data-driven solutions enhancing process efficiency and product quality.
  • Analyze data to identify inefficiencies and improvement opportunities.
  • Support MES/ERP data integration into digital models.
  • Participate in continuous improvement initiatives.
  • Document models, assumptions, and results for future reference and knowledge sharing.
  • Stay updated with the latest digital twin and manufacturing technology trends.
  • Provide technical expertise and guidance to junior team members.
  • Ensure compliance with industry standards and best practices.

Qualifications
  • Bachelor's degree in Engineering, Computer Science, or a related field.
  • Minimum 5 years of experience in manufacturing engineering or a related field.
  • Proven experience in digital twin model development and application.
  • Strong knowledge of manufacturing processes and material flow analysis.
  • Experience with MES/ERP systems and data integration.
  • Proficiency in simulation software and tools.
  • Excellent problem-solving and analytical skills.
  • Ability to work independently and manage multiple projects.
  • Effective communication and collaboration skills.
  • Willingness to stay updated with industry trends and best practices.

What DENSO employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom