Automation Industrial Engineer

Insight Global; Dayton (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

Insight Global is seeking an Automation Materials Industrial Engineer to advance manufacturing efficiency through material simulation. This role requires expertise in material flow validation and developing best practices to scale across the enterprise.

You will lead simulation studies of line-side delivery and warehouse logistics, partner with operations and engineering, and contribute to continuous improvement initiatives aligned with Lean and Industry 4.0.

Qualifications

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or related field.
• 3–7 years of experience in industrial engineering or material simulation in a manufacturing environment.
• Proficiency in simulation tools such as Siemens Plant Simulation, FlexSim, AutoMod, AnyLogic, or similar.
• Strong understanding of Lean Manufacturing, PFEP (Plan for Every Part), and material flow optimization.
• Proven ability to analyze data, develop insights, and present recommendations to leadership.
• Excellent problem-solving, communication, and cross-functional collaboration skills.

Responsibilities

• Lead material flow simulations to evaluate line-side delivery, warehouse logistics, and automated material handling solutions.
• Develop and validate discrete-event simulation models to optimize labor, equipment, and space utilization.
• Partner with operations and engineering teams to ensure scalability and sustainability of material flow strategies.
• Conduct time studies, capacity analysis, and ergonomic assessments to identify improvement opportunities.
• Create and maintain standard processes, metrics, and best practices for deployment across multiple facilities.
• Provide technical guidance on the integration of automation (AGVs/AMRs, conveyors, robotics) into plant operations.
• Support continuous improvement initiatives aligned with lean manufacturing and Industry 4.0 practices.

Skills

Data analysis

Cross-functional collaboration

Problem-solving

Communication

Lean Manufacturing

Education

Bachelor’s degree in Industrial Engineering

Masters preferred

Tools

Siemens Plant Simulation

FlexSim

AutoMod

AnyLogic

Job description

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or related field (Masters preferred)
• 3–7 years of experience in industrial engineering or material simulation within a manufacturing environment.
• Proficiency in simulation tools such as Siemens Plant Simulation, FlexSim, AutoMod, AnyLogic, or similar.
• Strong understanding of Lean Manufacturing, PFEP (Plan for Every Part), and material flow optimization.
• Proven ability to analyze data, develop insights, and present recommendations to leadership.
• Excellent problem-solving, communication, and cross-functional collaboration skills.

Nice to Have Skills & Experience

• Experience with automation technologies (AMRs, AGVs, robotics integration).
• Knowledge of ERP/WMS systems and digital twin applications.
• Prior experience working in a Center of Excellence or global standards role.

Job Description

Insight Global is looking for an Automation Materials Industrial Engineer. This highly skilled Industrial Engineer should have expertise in Material Simulation. This role will play a critical part in advancing manufacturing efficiency, validating material flow strategies, and developing best practices to be scaled across the enterprise. This candidate will bring a strong background in simulation tools, data analysis, and industrial engineering principles to support innovation and operational excellence.

• Lead material flow simulations to evaluate line-side delivery, warehouse logistics, and automated material handling solutions.
• Develop and validate discrete-event simulation models to optimize labor, equipment, and space utilization.
• Partner with operations and engineering teams to ensure scalability and sustainability of material flow strategies.
• Conduct time studies, capacity analysis, and ergonomic assessments to identify improvement opportunities.
• Create and maintain standard processes, metrics, and best practices for deployment across multiple facilities.
• Provide technical guidance on the integration of automation (AGVs/AMRs, conveyors, robotics) into plant operations.
• Support continuous improvement initiatives aligned with lean manufacturing and Industry 4.0 practices.