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Simulation Anylogic Jobs (NOW HIRING)

Denso

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

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 ...

Denso

Simulation Engineer 3

Southfield, MI · On-site

$107K - $133K/yr

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 ...

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How much do simulation anylogic jobs pay per year?

As of Aug 9, 2026, the average yearly pay for simulation anylogic in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What does a Simulation Anylogic professional do?

Simulation Anylogic professionals are typically responsible for designing, developing, and validating simulation models to analyze complex systems, such as manufacturing processes, supply chains, or transportation networks. Daily tasks may include gathering data, coding model logic, conducting experiments with different scenarios, and presenting findings to project stakeholders. Professionals in this role often collaborate closely with engineers, analysts, and subject matter experts to ensure models accurately reflect real-world processes. This dynamic work environment encourages ongoing learning and provides opportunities to solve unique challenges across various industries, making each project both engaging and impactful.

What are the key skills and qualifications needed to thrive in the Simulation Anylogic position?

To thrive as a Simulation Anylogic professional, you need a solid background in systems modeling, discrete-event simulation, and applied mathematics, typically backed by a relevant degree in engineering, computer science, or operations research. Competence with AnyLogic simulation software, programming languages such as Java, and familiarity with data analysis tools are highly valued, and certifications in simulation or modeling can be advantageous. Strong analytical thinking, problem-solving ability, and effective communication with both technical and non-technical stakeholders are key soft skills for this position. These competencies are crucial for building, validating, and explaining complex simulation models that inform critical business decisions across various industries.

What is a Simulation Anylogic?

A Simulation AnyLogic job involves developing, designing, and implementing simulations using AnyLogic, a multi-method modeling software. Professionals in this role create models to analyze systems, optimize processes, and support decision-making in industries such as logistics, healthcare, and manufacturing. They need expertise in system dynamics, discrete-event modeling, and agent-based simulation, along with programming skills in Java. Typically, these roles require problem-solving abilities, data analysis, and an understanding of real-world system behavior.

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What are the most commonly searched types of Simulation Anylogic jobs? The most popular types of Simulation Anylogic jobs are:
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Simulation Anylogic jobs near you
Infographic showing various Simulation Anylogic job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Simulation Engineer 3

Denso

Southfield, MI • On-site

$107K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

14th 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.

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.

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