Industrial Engineer Automation (Packaging Operations)

Autajon Packaging

Nashua (NH)

On-site

USD 75,000 - 95,000

Full time

14 days+

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Job summary

A leading packaging solutions provider in Nashua, NH is seeking an Industrial Engineer Automation to enhance packaging operations through process optimization and automation. The successful candidate will lead design and implementation of automated solutions, manage capital improvement projects, and analyze production data to drive efficiency. Key qualifications include a degree in Industrial Engineering and expertise in automation integration and data analytics. This role requires strong collaboration across departments to implement effective solutions.

Qualifications

  • Proven experience in process optimization and automation within manufacturing environments.
  • Strong analytical skills with an emphasis on data-driven decision-making.
  • Ability to manage multiple projects with competing priorities.

Responsibilities

  • Lead design and implementation of automated packaging solutions.
  • Analyze processes to identify automation opportunities.
  • Manage automation projects from concept to implementation.
  • Collect and analyze production data for performance improvements.
  • Collaborate with Maintenance and Engineering for system reliability.

Skills

Process optimization
Automation integration
Data analytics
Project management
Statistical tools
Cross-functional collaboration

Education

Bachelor's degree in Industrial Engineering or related field

Tools

Vision systems
Robotics
Simulation modeling software

Job description

Position

Industrial Engineer Automation (Packaging Operations)

Department

Operations

Reports To

Operations Manager

Position Summary

The Industrial Engineer Automation is responsible for driving process optimization, automation integration, and continuous improvement initiatives within packaging operations. This role focuses on improving efficiency, reducing waste, increasing throughput, and enhancing safety through the application of industrial engineering principles and automation technologies. The position works cross-functionally with Operations, Maintenance, Quality, Engineering, and external vendors to implement scalable and sustainable solutions.

Principal Job Responsibilities
Automation & Process Improvement
  • Lead the design, evaluation, and implementation of automated packaging solutions (robotics, vision systems, conveyor systems, palletizing, case packing, labeling, and material handling).
  • Analyze current packaging processes to identify automation opportunities and ROI-driven improvements.
  • Develop and maintain time studies, workflow analysis, value stream mapping, and capacity modeling.
  • Improve Overall Equipment Effectiveness (OEE) through process redesign and automation enhancements.
  • Support equipment layout design and facility optimization initiatives.
  • Leverage artificial intelligence and machine learning tools to optimize packaging line performance, enable predictive maintenance, and improve quality inspection accuracy.
  • Utilize advanced data analytics and AI-driven modeling to identify process inefficiencies, reduce downtime, and support data-driven operational decision-making.
Project Management
  • Manage automation and capital improvement projects from concept through implementation and post-launch optimization.
  • Develop project scopes, budgets, timelines, and technical specifications.
  • Coordinate with OEMs, system integrators, and automation vendors.
  • Oversee equipment installation, commissioning, and validation.
Data & Performance Analytics
  • Collect and analyze production data to identify inefficiencies and bottlenecks.
  • Use statistical tools and simulation modeling to drive decision-making.
  • Develop KPIs and performance dashboards to monitor packaging line productivity.
Cross-Functional Collaboration
  • Partner with Maintenance and Engineering to ensure reliability and maintainability of automated systems.
  • Support Quality initiatives to ensure packaging integrity and compliance.
  • Train supervisors and operators on new automated systems and workflow changes.
  • Support safety initiatives and risk assessments related to automation implementation.
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