Simulation Engineer 3

Location: Southfield, MI, United States

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

The Simulation Engineer 3 will play a crucial role in driving process optimization and material flow analysis within DENSO International America's DIAM-4021|NADXIT Design department. Working under the guidance of senior engineers, this role involves leading the development and application of digital twin models for manufacturing systems. The successful candidate will operate with minimal supervision, serving as a technical leader and subject matter expert, and interfacing with cross-functional teams to define, deliver, and scale enterprise-ready simulation capabilities that support business transformation and operational excellence.