QA Automation Engineer

• 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.
• Coil tracking system for managing coil movements on walking beams, roll change events, coil schedule planning, coil order planning, and roll data management.
• Mill production environment system controlling 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.
• Profile and flatness setup models monitoring/tracking strip gauge deviation, width deviation, and surface shape distribution (head/body/tail) based on ASTM standards and customer tolerances.
• Thermal crown calculation models considering work roll cooling, lubrication, rolling temperature (atomic recrystallization), friction between rolls and materials, and work roll diameter stock loss.
• 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 affecting strip behavior.
• Apply Computing Principles for Electrical Engineers in Level 2 automation systems, utilizing advanced programming skills to develop and implement software solutions for steel mill operations.
• Implement and maintain reliable supervisory control and data acquisition (SCADA) systems for real-time high-speed mill data collection, diagnostics, and mill control in coordination with Level 1 (PLC) systems through software Human-machine interfaces (HMIs), databases, product quality and process parameter historians to maximize safety, quality, and production throughput.
• Apply machine learning, artificial intelligence, and statistics in manufacturing for strategic production planning, mill process data analysis, incoming coil quality forecasting, anomaly detection, and risk prediction of possible mill wreckage using historical data logs.
• Implement introduction to Linear Algebra for Engineering and matrix theory and underlying concepts.
• Build Human-machine interfaces (HMIs) to deliver production planning schedules, production reports, downtime logging, quality performance tracking, incident data logging, safety tools, energy consumption monitoring, automatic email/text notifications, in support of continuous mill process improvement.
• Utilize Database system architecture; conceptual database models; semantic, object-oriented, logic based, and relational databases; user and program interfaces.
• Maintain the Cold Mill Level 2 automation infrastructure by administering SQL databases, managing system resources, and upgrading server and software environments.
• Utilize Probability for Electrical and Computer Engineers to provide rigorous coverage of probability, discrete and continuous random variables, functions of multiple random variables, covariance, correlation, and introduction to statistics.
• Incorporate Machine Learning I: Supervised Methods in manufacturing and statistics for mill process data analysis.
• Service and maintain industrial communication and distributed systems, including configuring IP addresses, virtual local area networks (VLANs), switches, and TCP/UDP communication protocols.
• Collaborate with cross-functional teams, cold mill operations, cold mill electrical and mechanical, IT, and quality departments to ensure cold mill automation systems meet cold mill/plant production targets, cost and profit goals, system reliability, safety standards, cybersecurity requirements, and customer quality expectations.

Level II Automation Engineer

• Drive Requisition Readiness — Ensure all necessary artifacts, documentation, and automation frameworks are in place to support ITO, application engineering, and fulfillment teams prior to product handoff.
• Serve as the Technical Authority — Act as the primary point of contact for fulfillment teams on technical questions and guidance related to new HMI, Networking, and Cybersecurity product introductions.
• Develop Deployment Automation Software — Partner with Technical Leaders, System Architects, and Product Owners to design and build software automation solutions that enable consistent, high-quality product deployments with minimal human intervention.
• Convert NPI Inputs into Automated Workflows — Translate product specifications and NPI outputs into structured, executable automation processes that eliminate manual steps and reduce deployment risk.
• Participate in Scaled Agile Framework (SAFe) — Contribute to program increment planning by defining handoff scope through features, stories, and tasks, ensuring milestone alignment with Product Owner commitments.
• Lead Training Initiatives — Coordinate and deliver technical training for domestic and global fulfillment teams on new products, automation tooling, and deployment procedures.
• Develop & Maintain Standard Work — Author and continuously improve standardized deployment documentation and automation playbooks for HMI, networking, and cybersecurity products.
• Manage Concurrent Product Handoffs — Prioritize and execute multiple simultaneous product transitions while maintaining quality and schedule commitments.

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