Industrial Automation Engineer focusing on designing and implementing advanced automation systems at Nucor Steel Lexington. Enhancing machinery and processes for optimized steel production operations.
Responsibilities
Design, implement, and configure advanced autonomous control systems for overhead cranes and material handling equipment using PLC and HMI platforms
Upgrade legacy machinery to modern control platforms, and enhance existing manufacturing lines
Perform deep analysis of failures in Programmable Logic Controller (PLC) and evaluation of feasible solutions, including modifications in control logic
Develop control systems in programmable logic controller (PLC)/Human-Machine Interface (HMI) platforms, including Allen-Bradley and Siemens
Implement industrial process automation networking to link equipment and devices for data communication and control (ie, Ethernet IP, Profinet, Modbus, Profibus)
Increase efficiency within level 1 automation systems and ensure the optimum performance of equipment for plant operations through continual improvement initiatives.
Requirements
Bachelor’s or foreign equivalent degree in Mechatronics, Electrical, Automation, or Information Systems Engineering
Five (5) years of experience in automation engineering optimizing steel processes and machinery
Designing advanced autonomous control systems for overhead cranes and material handling equipment using PLC and HMI platforms
Implementing industrial process automation networking to link equipment and devices for data communication and control (ie; Ethernet IP, Profinet, Modbus, Profibus)
Configuring, troubleshooting, and utilizing Windows Operating Systems, Networking, virtualization and Databases for Control System Applications
Developing innovative Python models to solve complex automation process challenges and deliver high-end solutions, including building neural networks to identify and segregate scrap types.
Install, maintain, and deploy L2 systems utilizing Database Engines such as MySQL, MS SQL, Oracle, PostgreSQL, Redis, MariaDB, Cassandra, MongoDB for storing structured data for processes, operations, and advanced computing algorithms.
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