Industrial Engineer – Automation (Packaging Operations) AU-26-02892

AUTAJON GROUP; Nashua (NH); On-site; USD 90,000 - 140,000; Full time

Job summary

AUTAJON GROUP in Nashua, NH seeks an Industrial Engineer – Automation to drive packaging-automation initiatives. You will lead automation projects across packaging lines, collaborating with Maintenance, Quality, Engineering, and external vendors to implement scalable, data-driven improvements.

The role emphasizes ROI analysis, OEE enhancement, and advanced analytics using robotics, vision systems, conveyors, and smart tooling.

Qualifications

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related field.
• 3–7+ years of industrial engineering experience in manufacturing, preferably within packaging, food & beverage, consumer goods, or high-speed production environments.
• Experience implementing automation projects in packaging operations strongly preferred.
• Hands‑on experience with robotics, PLC interfaces, vision systems, or material handling systems preferred.
• Proficiency in Lean Manufacturing and Six Sigma methodologies.
• Experience with AutoCAD or other layout/design software.
• Knowledge of OEE tracking, time studies, and capacity modeling.
• Familiarity with ERP/MES systems.
• Strong data analysis skills (Excel, Minitab, Power BI or similar).
• Strong analytical and problem‑solving skills with the ability to translate data into actionable process improvements.
• Effective project management capabilities with the ability to manage multiple initiatives simultaneously.
• Demonstrated ability to lead without direct authority, influencing cross‑functional teams.
• Strong interpersonal and communication skills to present technical information clearly.

Responsibilities

• Lead design, evaluation, and implementation of automated packaging solutions (robotics, vision systems, conveyors, 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.
• Coordinate with OEMs, system integrators, and automation vendors.
• Oversee equipment installation, commissioning, and validation.
• Collect and analyze production data to identify bottlenecks and drive decisions.
• Train supervisors and operators on new automated systems and workflow changes.

Skills

Lean & Six Sigma

Data analysis

Project management

Lead without authority

Cross-functional collaboration

Problem solving

Communication skills

Education

Bachelor's degree in Industrial Engineering

Tools

AutoCAD

ERP/MES systems

Minitab

Power BI

Excel

PLC interfaces

Vision systems

Job description

Industrial Engineer – Automation (Packaging Operations)

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.

Key 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.

Qualifications

Education

• Bachelor’s degree in Industrial Engineering, Mechanical Engineering, Manufacturing Engineering, or related field required.

Experience

• 3–7+ years of industrial engineering experience in manufacturing, preferably within packaging, food & beverage, consumer goods, or high-speed production environments.
• Experience implementing automation projects in packaging operations strongly preferred.
• Hands‑on experience with robotics, PLC interfaces, vision systems, or material handling systems preferred.

Technical Skills

• Proficiency in Lean Manufacturing and Six Sigma methodologies.
• Experience with AutoCAD or other layout/design software.
• Knowledge of OEE tracking, time studies, and capacity modeling.
• Familiarity with ERP/MES systems.
• Strong data analysis skills (Excel, Minitab, Power BI or similar).
• Strong analytical and problem‑solving skills with the ability to translate data into actionable process improvements.
• Effective project management capabilities with the ability to manage multiple initiatives simultaneously.
• Demonstrated ability to lead without direct authority, influencing cross‑functional teams including Operations, Maintenance, Quality, and external vendors to drive project execution and process change.
• Strong interpersonal and communication skills with the ability to present technical information clearly to both technical and non‑technical stakeholders.
• Results‑oriented with a continuous improvement mindset and a bias toward action.
• Ability to build trust, gain buy‑in, and drive accountability in a fast‑paced manufacturing environment.

Physical & Work Environment

• Works in a manufacturing environment with exposure to moving mechanical parts and packaging equipment.
• Regular floor presence required.
• May require occasional travel to vendors or other facilities.