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 • 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. • 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.