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Equipment Engineer (Smart Factory)

Holland, MI, US • Posted 7 days ago • Updated 8 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Salesforce.com
Energy
Storage
Optimization
Reliability Engineering
Continuous Improvement
Preventive Maintenance
Acceptance Testing
Performance Metrics
OEE
Root Cause Analysis
Project Management
Scheduling
Collaboration
Documentation
Communication
Incident Management
5S
Manufacturing
Programmable Logic Controller
Siemens
Programming Languages
Python
C#
Network
IT Infrastructure
Data Analysis
Visualization
Critical Thinking
Conflict Resolution
Problem Solving
Process Management
Attention To Detail
D3.js
Microsoft Office

Salesforce.com
Energy
Storage
Optimization
Reliability Engineering
Continuous Improvement
Preventive Maintenance
Acceptance Testing
Performance Metrics
OEE
Root Cause Analysis
Project Management
Scheduling
Collaboration
Documentation
Communication
Incident Management
5S
Manufacturing
Programmable Logic Controller
Siemens
Programming Languages
Python
C#
Network
IT Infrastructure
Data Analysis
Visualization
Critical Thinking
Conflict Resolution
Problem Solving
Process Management
Attention To Detail
D3.js
Microsoft Office

Summary

Job Title: Engineer I, Equipment SF

Reports to:

Location:

LG Energy Solution Michigan Inc. (LGESMI) develops and manufactures large lithium ion polymer batteries and modules for electric vehicle (EV) and energy storage applications. Come join the leader in advanced EV batteries! ;br>
Summary:

The Smart Factory Engineer I, Equipment supports the implementation, optimization, and maintenance of smart factory systems within a highly automated manufacturing environment. This role focuses on improving equipment efficiency, supporting digital transformation initiatives, and ensuring system reliability through data analysis, automation, and cross-functional collaboration.

Responsibilities:

Support implementation and continuous improvement of Smart Factory systems, including Remote Operations, Autonomous Calibration, Product Traceability, and Preventative Maintenance
Participate in Site Acceptance Testing (SAT), commissioning, and validation of system functionality and performance
Assist in reviewing, modifying, and optimizing systems using PLC (Siemens), Python, and C#
Analyze equipment performance metrics (OEE, downtime, yield) to identify trends and improvement opportunities
Support troubleshooting of equipment and system-related issues, including root cause analysis and corrective actions
Assist in planning and executing strategies to improve equipment efficiency, availability, and automation capabilities
Support project management activities for Smart Factory initiatives, including scheduling, tracking progress, and coordinating deliverables
Collaborate with cross-functional teams (Production, Maintenance, IT, Engineering) to deploy and sustain system improvements
Contribute to documentation development, including system procedures and operational standards
Prepare and deliver weekly and monthly reports on project progress, issues, and achievements
Participate in regular meetings with internal stakeholders and global headquarters to provide updates and align on priorities
Support communication and issue management related to Smart Factory systems
Maintain cleanliness at work-site in accordance with 5S3R Standards:
- Sort, Set in order, Shine, Standardize, Sustain
- Right Location, Right Quantity, Right Container
Perform other duties as assigned

Qualifications:

Bachelor's Degree in Engineering or related field or equivalent, relevant experience

Experience:

0-3+ years of experience in manufacturing, automation, IT systems, or engineering environments
Exposure to Smart Factory, automation systems, or equipment engineering preferred
Experience analyzing system or equipment performance data is a plus

Skills:

Basic understanding of PLC systems (Siemens preferred)
Familiarity with programming languages such as Python or C#
Knowledge of network systems, IT infrastructure, or industrial automation
Exposure to data analytics or visualization tools is a plus
Comfortable working independently and with others
Results-oriented and perseverant
Critical thinking and problem-solving skills
Project and process management skills
Strong attention to detail
Technically proficient and motivated to continuously improve
Equipment designing programs 2D/3D
MS Office Suite

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183534
Position Id: 3e4b52797971e6c8e00292681d48cfa0
Posted 7 days ago

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