NSBC - Level II Automation Engineer

Nucor•Huger, SC

23h•Onsite

About The Position

Responsible for engineering, developing, optimizing, and maintaining Level 2 computer automation systems to support steel production operations in reversing cold mills. Apply cold rolling theory, thermal physics, modern physics, multivariable calculus, ordinary differential equations, chemistry, and electrical engineering principles to develop and optimize mill process setup models for reversing cold mill automation systems. This includes managing coil tracking, mill production environments, profile and flatness setup models, thermal crown calculations, and rolling force/strip deformation models. The role involves applying computing principles for electrical engineers, implementing SCADA systems, and utilizing machine learning, artificial intelligence, and statistics for production planning and data analysis. Additionally, it requires implementing linear algebra concepts, building Human-Machine Interfaces (HMIs), managing database systems, and maintaining the cold mill automation infrastructure. The position also involves applying probability and statistics, machine learning supervised methods, and servicing industrial communication systems. Collaboration with cross-functional teams is essential to ensure automation systems meet production targets, cost goals, reliability, safety, cybersecurity, and quality expectations.

Requirements

Master’s degree in Electrical Engineering or related field.
Coursework must include: Computing Principles for Electrical Engineers.
Coursework must include: Probability for Electrical and Computer Engineers.
Coursework must include: Linear Algebra for Engineering.
Coursework must include: Database Systems.
Coursework must include: Machine Learning I: Supervised Methods.
Must submit resume and transcript.

Responsibilities

Engineering, developing, optimizing, and maintaining Level 2 computer automation systems for reversing cold mills.
Applying cold rolling theory, thermal physics, modern physics, multivariable calculus, ordinary differential equations, chemistry, and electrical engineering principles to develop and optimize mill process setup models.
Managing coil tracking systems for movements, roll changes, schedule planning, order planning, and roll data.
Controlling mill production environment systems including entry payoff reel, entry tension reel, mill stand controller, hydraulic cylinder systems, mill motors, automatic strip gauge control, x-ray gauge systems, stackable work and backup rolls, and exit tension reel.
Developing profile and flatness setup models monitoring/tracking strip gauge deviation, width deviation, and surface shape distribution based on ASTM standards and customer tolerances.
Creating thermal crown calculation models considering work roll cooling, lubrication, rolling temperature, friction, and work roll diameter stock loss.
Developing rolling force and strip deformation models covering strip gauge reduction pass schedules, hydraulic roll force, work roll bending and shifting, entry/exit reel tensions, and other mechanical forces.
Applying computing principles for electrical engineers in Level 2 automation systems, developing and implementing software solutions.
Implementing and maintaining SCADA systems for real-time data collection, diagnostics, and mill control in coordination with Level 1 (PLC) systems.
Building Human-machine interfaces (HMIs) for production planning, reports, downtime logging, quality tracking, incident data logging, safety tools, energy monitoring, and notifications.
Administering SQL databases, managing system resources, and upgrading server and software environments for the cold mill Level 2 automation infrastructure.
Servicing and maintaining industrial communication and distributed systems, including configuring IP addresses, VLANs, switches, and TCP/UDP communication protocols.
Collaborating with cross-functional teams (cold mill operations, electrical, mechanical, IT, quality) to ensure automation systems meet production targets, cost goals, reliability, safety, cybersecurity, and quality expectations.