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Process Simulate Jobs in Detroit, MI (NOW HIRING)

Denso

Simulation Engineer 3

Southfield, MI · On-site

Identify opportunities for process optimization, material flow improvements, and line balancing by leveraging digital twin simulations. * Use predictive analytics to simulate different production ...

Denso

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

Develop, deploy, and maintain product simulation processes, tools, and technologies to support virtual validation, design maturation, manufacturing readiness, and early issue detection. * Apply ...

Denso

Simulation Engineer 3

Southfield, MI

$107K - $133K/yr

Develop, deploy, and maintain product simulation processes, tools, and technologies to support virtual validation, design maturation, manufacturing readiness, and early issue detection. * Apply ...

Wright Technical Services

Process Engineer

Macomb, MI · On-site

Title: Process Engineer Job Type : Permanent/Direct Hire Location : Macomb, MI Onsite/Travel ... simulation & 3D modeling a plus), also able to read blueprints and GD&T. * Experience with SPC ...

Wright Technical Services

Process Engineer

Macomb, MI · On-site

Title: Process Engineer Job Type : Permanent/Direct Hire Location : Macomb, MI Onsite/Travel ... simulation & 3D modeling a plus), also able to read blueprints and GD&T. * Experience with SPC ...

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All JobsProcess Simulate JobsProcess Simulate Jobs in Detroit, MI

Process Simulate information

See Detroit, MI salary details

$14

$25

$47

How much do process simulate jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for process simulate in Detroit, MI is $25.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $29.28 per hour, depending on experience, location, and employer.

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

To excel as a Process Simulate Specialist, you need a strong background in industrial engineering, manufacturing processes, and 3D simulation, often supported by a relevant engineering degree. Proficiency in Siemens Process Simulate software, knowledge of PLC programming, and familiarity with CAD systems are essential technical requirements. Strong analytical thinking, problem-solving, and effective communication skills set top performers apart in this field. These capabilities are crucial for accurately modeling, optimizing, and communicating complex manufacturing processes, ensuring efficiency and reducing production risks.

What is the difference between Process Simulate vs Process Engineer?

AspectProcess SimulateProcess Engineer
Primary RoleUses simulation software to model manufacturing processesDesigns, develops, and optimizes manufacturing processes
Skills & CertificationsCAD/CAM, simulation software proficiency, technical engineering backgroundProcess design, project management, engineering certifications
Work EnvironmentTypically in software labs or engineering officesFactories, manufacturing plants, engineering offices
Industry UsageUsed by manufacturing and automation companies for process validationEmployed in manufacturing, automotive, aerospace industries for process development

While Process Simulate focuses on modeling and testing manufacturing processes virtually, Process Engineers are responsible for designing and implementing these processes in real-world settings. Both roles require technical expertise, but Process Simulate emphasizes simulation skills, whereas Process Engineers focus on practical process development and optimization.

How does a Process Simulate specialist typically collaborate with engineering and production teams during a project?

A Process Simulate specialist works closely with both engineering and production teams to develop, test, and optimize manufacturing processes in a virtual environment before implementation on the shop floor. This collaboration involves regular meetings to review simulation results, gather feedback on proposed process changes, and ensure alignment with production goals and constraints. Effective communication is key, as the specialist must translate technical simulation data into actionable insights for engineers and operators. Such teamwork helps identify potential bottlenecks, improve efficiency, and reduce costly errors during actual production ramp-up.

What is a Process Simulate engineer?

A Process Simulate engineer specializes in using simulation software—such as Siemens Process Simulate—to design, validate, and optimize manufacturing processes in a virtual environment. Their main tasks include creating digital models of production lines, testing various process scenarios, and identifying improvements before physical implementation. This helps manufacturers save time, reduce costs, and minimize errors by addressing issues early in the design phase. Process Simulate engineers often collaborate closely with production, quality, and design teams to ensure efficient and error-free manufacturing workflows.
What are popular job titles related to Process Simulate jobs in Detroit, MI? For Process Simulate jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Process Simulate jobs in Detroit, MI look for? The top searched job categories for Process Simulate jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Process Simulate jobs? Cities near Detroit, MI with the most Process Simulate job openings:
Process Simulate jobs near you
Simulation Engineer 3

Simulation Engineer 3

Denso

Southfield, MI • On-site

Full-time

Posted 27 days ago

DENSO rating

7.4

Company rating: 7.4 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

18th of 44 rated automakers

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.

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.

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