Engineer II, Smart Factory

LG Energy Solution Arizona•Queen Creek, AZ

9d•Onsite

About The Position

LG Energy Solution Arizona, Inc. is seeking an Engineer II, Smart Factory (AX/DX) to support the planning, development, implementation, validation, and continuous improvement of AI-driven manufacturing and automation solutions across battery manufacturing operations. This role bridges manufacturing needs with automation, data, and production technology to enhance equipment efficiency, process capability, traceability, reliability, and operational decision-making. The position involves collaboration with various teams, including production, equipment, quality, IT/MES, parent headquarters, and external vendors, throughout the project lifecycle from requirements definition to ongoing support.

Requirements

Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics, Computer Engineering, Industrial Engineering, Engineering Technology, Computer Science, Information Technology, or a related field required.
3+ years of relevant experience in manufacturing engineering, equipment engineering, factory automation, manufacturing IT, AI transformation, or a related technical environment.
Experience supporting equipment or system installation, commissioning, testing, troubleshooting, or continuous improvement projects.
Ability to work flexible hours as needed to support production teams, parent headquarters, and global sites.
Proficiency in Microsoft Office tools for report writing, presentations, project tracking, and data analysis.

Nice To Haves

Experience with data analysis projects, production system projects, or AI-enabled manufacturing solutions preferred.
Knowledge of battery manufacturing, automotive manufacturing, or other highly automated production environments preferred.
Knowledge of PLCs, industrial networks, PC-based control systems, machine vision, sensors, markers, and production traceability preferred.
Programming and data analysis skills using Python, C#, SQL, Power BI, or similar tools preferred.
Knowledge of machine learning, advanced analytics, or AI-enabled manufacturing applications preferred.
Experience working in a multicultural or globally distributed organization preferred.
Bilingual proficiency in English and Korean preferred, but not required.

Responsibilities

Review manufacturing processes and identify opportunities for automation, digitalization, advanced analytics, and AI-enabled improvement.
Plan and coordinate deployment of AX/DX solutions, including remote operations, autonomous or automated control, product traceability, fault detection and classification, vision inspection, and preventive or predictive maintenance.
Participate in design reviews, specification reviews, Site Acceptance Testing (SAT), commissioning, functionality checks, performance validation, and production stabilization.
Troubleshoot and maintain AX /DX systems and related production technology, including PC-based control systems, markers, vision cameras, sensors, interfaces, and network-connected equipment.
Analyze manufacturing and system data to support root-cause analysis, system optimization, and improvements in equipment efficiency and availability.
Create and maintain project documentation, issue logs, technical standards, standard operating procedures, test records, and weekly or monthly status reports.
Coordinate project schedules, action items, risks, and deliverables with internal stakeholders, parent headquarters, and technology vendors.
Support AX/DX investment planning, budget tracking, vendor evaluation, equipment and software procurement, and lifecycle management.
Promote safe implementation by participating in technical risk reviews and following site safety, environmental, cybersecurity, and change-management requirements.
Perform other related duties as assigned.