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Industrial Systems Engineer

Job in Flat Rock, Henderson County, North Carolina, 28731, USA
Listing for: Jabil
Full Time position
Listed on 2026-06-28
Job specializations:
  • Manufacturing / Production
    Manufacturing Engineer, Lean Manufacturing / Six Sigma, Automation & Mechatronics Engineer, Quality Engineering
  • Engineering
    Manufacturing Engineer, Lean Manufacturing / Six Sigma, Automation & Mechatronics Engineer, Quality Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Flat Rock

Industrial Systems Engineer – High-Speed Automation & Manufacturing

We are seeking an Industrial Systems Engineer to optimize manufacturing processes, material flow, and labor efficiency in a high-speed automated production environment. This role focuses on line balancing, work cell design, simulation modeling, and continuous improvement to support both automated and manual assembly operations.

Key Responsibilities High-Speed Manufacturing & Process Optimization
  • Analyze and optimize production systems supporting high-speed automated assembly assets
  • Develop line balance strategies to maximize throughput, efficiency, and resource utilization
  • Monitor and improve key metrics such as cycle time, OEE, and labor productivity
Material Handling & System Flow
  • Support and optimize automated material handling systems including robotics, AMRs, AGVs, and conveyor systems
  • Improve movement, storage, and retrieval of totes and pallets to reduce bottlenecks and increase system efficiency
  • Evaluate plant layouts and material flow to ensure optimal production performance
Work Cell Design & Manual Assembly
  • Develop and implement efficient work cell layouts for both automated and manual assembly operations
  • Define standardized work, ergonomic improvements, and operator efficiency strategies
  • Balance labor across manual and semi-automated processes
Simulation & Modeling
  • Utilize Flex Sim software to model production systems, validate capacity, and simulate process improvements
  • Perform scenario analysis to support capital investments and layout changes
  • Provide data-driven recommendations based on simulation outputs
Vision Systems & Quality Integration
  • Support implementation and improvement of high-speed vision systems for quality inspection applications
  • Analyze defect data and collaborate with quality and engineering teams to improve process capability
Continuous Improvement & Problem Solving
  • Lead and support initiatives using:
    • Lean Manufacturing principles
    • Six Sigma methodologies
    • PDCA (Plan-Do-Check-Act)
    • RCA (Root Cause Analysis)
  • Identify waste and inefficiencies and implement sustainable improvements
  • Drive standardization and best practices across operations
Cross-Functional Collaboration
  • Work closely with Mechanical, Electrical, Controls, Manufacturing, and Quality teams
  • Support new product introductions, line transfers, and capacity expansions
  • Collaborate with leadership to develop strategic improvement initiatives
Required Qualifications
  • Bachelor’s degree in Industrial Engineering or related field
  • 5 years minimum experience and understanding of manufacturing systems, process optimization, and labor analysis
  • Experience with data analysis and process improvement techniques
  • Ability to develop layouts, workflows, and standardized work instructions
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities
Preferred Qualifications
  • Experience supporting high-speed automation environments (300+ parts per minute)
  • Medical device manufacturing experience strongly preferred
  • Experience with:
    • Automated material handling systems (AMR, AGV, robotics)
    • High-speed vision systems and inspection processes
    • Proficiency in Flex Sim or similar simulation software
    • Strong background in Lean Manufacturing and Six Sigma methodologies
Key Competencies
  • Strong analytical and data-driven decision-making skills
  • Continuous improvement mindset
  • Ability to balance automation and manual operations effectively
  • Attention to detail and process discipline
  • Strong cross-functional collaboration skills
Work Environment
  • Combination of office and shop floor engagement
  • Direct interaction with both automated systems and manual operations
  • Occasional travel for benchmarking, system validation, or multi-site support
Reporting Structure
  • Reports to:

    Engineering Manager
  • Works closely with:
    Mechanical, Electrical, Controls, Manufacturing, and Quality teams
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