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Automation Engineering Technician

Menomonee Falls, WI, US • Posted 60+ days ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Development Testing
Process Automation
Technical Support
Debugging
Repair
Collaboration
Project Implementation
Mentorship
Programmable Logic Controller
Ladder Logic
Use Cases
Computer Hardware
ARM
Continuous Improvement
Manufacturing Support
HMI
Mechanical Engineering
Communication
HMIS
Machine Vision
Sensors
Motion Control
Pneumatics
Electrical Engineering
Power Tools
Dashboard
Computer Networking
OPC
MQTT
SQL
Artificial Intelligence
Machine Learning (ML)
Computer Vision
Advanced Analytics
Innovation
Adaptability
Robotics
Data Collection
Manufacturing

Development Testing
Process Automation
Technical Support
Debugging
Repair
Collaboration
Project Implementation
Mentorship
Programmable Logic Controller
Ladder Logic
Use Cases
Computer Hardware
ARM
Continuous Improvement
Manufacturing Support
HMI
Mechanical Engineering
Communication
HMIS
Machine Vision
Sensors
Motion Control
Pneumatics
Electrical Engineering
Power Tools
Dashboard
Computer Networking
OPC
MQTT
SQL
Artificial Intelligence
Machine Learning (ML)
Computer Vision
Advanced Analytics
Innovation
Adaptability
Robotics
Data Collection
Manufacturing

Summary

Job Description:

INNOVATE WITHOUT BOUNDARIES! Milwaukee Tool's Front End Manufacturing Technology Team supports hands-on development, testing, troubleshooting, and deployment of next-generation manufacturing technologies for the Hand Tools Business Unit. The Automation Technician role partners with engineering, operations, quality, IT, suppliers, and global sites to turn new ideas into practical shop-floor solutions across automation, robotics, machine vision, connected equipment, data systems, and emerging AI/ML manufacturing applications.

Manufacturing Process, Automation & Technology Support:

Support setup, debug, troubleshooting, repair, and improvement of automation, robotics, vision systems, sensors, connected equipment, and automated work cells.
Collaborate with engineering, maintenance, production, quality, IT, suppliers, and global sites to support line setup, changeovers, pilots, and project execution.
Own assigned automated equipment and help deliver strong safety, quality, throughput, cost, flexibility, and speed-to-market results.
Lead, mentor, and coordinate automation, engineering, and contractor resources as needed.
Interpret PLC ladder logic, troubleshoot controls, integrate robots, and support communications, VFDs, motor protection relays, and industrial networks.
Collect and review machine data from PLCs, HMIs, sensors, robots, vision systems, and connected equipment to support troubleshooting, traceability, and data-driven decisions.
Support practical AI/ML and advanced analytics use cases by gathering clean process data, documenting equipment behavior, validating outputs, and translating recommendations into shop-floor actions.
Assist with edge devices, barcode/traceability systems, data collection hardware, and equipment connectivity for smart factory applications.
Build, modify, and test proof-of-concept fixtures, tooling, sensors, robot end-of-arm tooling, and prototype automation solutions.
Identify mechanical issues, maintain housekeeping and safety, participate in continuous improvement, and support multiple plants or projects as assigned.
Controls, Data & Connected Manufacturing Support:
Proficient with Rockwell controls platforms, including CompactLogix PLCs and FactoryTalk HMI development.
Able to read and interpret electrical, mechanical, and technical documents; wire control panels to prints, codes, and regulations.
Strong technical, mathematical, spatial, organizational, reading, and written communication skills.
Working knowledge of PLCs, HMIs, robotics, machine vision, sensors, motion control, pneumatics, electrical controls, equipment safety systems, and power tools.
Familiarity with connected manufacturing concepts such as machine data collection, traceability, dashboards, industrial networking, edge devices, OPC-UA, MQTT, SQL, APIs, or similar technologies is a plus.
Interest in AI, machine learning, computer vision, predictive quality, anomaly detection, and advanced analytics for manufacturing applications.
Demonstrates innovation, adaptability, hands-on curiosity, and the ability to test concepts, document results, and pivot quickly when needed.

Education and Experience Requirements:

Associate's degree or 5+ years of experience in a related industrial field.
Experience supporting automation, controls, robotics, vision systems, connected equipment, manufacturing data collection, or hands-on advanced manufacturing development.

Milwaukee Tool is an equal opportunity employer.

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: 10326413
Position Id: 96316b4d2b7d66fcd19879e74622068b
Posted 30+ days ago

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