Engineer I, Smart Factory

LG Energy Solution Arizona•Queen Creek, AZ

10d•Onsite

About The Position

LG Energy Solution Arizona, Inc. is seeking an Engineer I, Smart Factory (AX/DX) to support the implementation, validation, troubleshooting, and continuous improvement of smart factory, automation, and digital manufacturing solutions across battery manufacturing operations. This entry-level role is ideal for a recent engineering graduate or early-career professional interested in manufacturing systems, production technology, data-driven improvement, and cross-functional project execution. The position involves working under the guidance of senior engineers and collaborating with various teams, including production, equipment, quality, IT/MES, parent headquarters, and external vendors, to ensure stable operation and enhancement of AX/DX systems.

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.
0–2 years of relevant internship, co-op, academic project, research, or work experience in manufacturing engineering, equipment engineering, factory automation, manufacturing IT, data analysis, AI transformation, or a related technical environment.
Coursework, project experience, or basic exposure to equipment systems, automation, programming, data analysis, control systems, industrial engineering, or manufacturing processes preferred.
Interest in learning smart factory technologies, production systems, AI-enabled manufacturing solutions, and data-driven process improvement.
Knowledge of battery manufacturing, automotive manufacturing, or highly automated production environments preferred, but not required.
Ability and willingness to learn quickly, follow technical procedures, ask questions, and work effectively in a manufacturing environment.
Ability to work flexible hours as needed to support production teams, parent headquarters, and global sites.
Occasional domestic travel may be required to support training, suppliers, project execution, or collaboration with other sites.
Clear written and verbal communication skills.
Analytical and problem-solving mindset with willingness to learn structured root-cause analysis and recurrence-prevention methods.
Basic organizational and project-tracking skills with the ability to manage assigned tasks and deadlines.
Ability to communicate technical information clearly with engineers, production teams, headquarters teams, and external vendors.
Proficiency in Microsoft Office tools for report writing, presentations, project tracking, and data analysis.

Nice To Haves

Basic knowledge of PLCs, industrial networks, PC-based control systems, machine vision, sensors, markers, or production traceability preferred.
Basic programming or data analysis skills using Python, C#, SQL, Power BI, Excel, or similar tools preferred.
Interest in learning machine learning, advanced analytics, or AI-enabled manufacturing applications preferred.
Ability to work in a multicultural or globally distributed organization preferred.
Bilingual proficiency in English and Korean preferred, but not required.

Responsibilities

Support review of manufacturing processes and help identify opportunities for automation, digitalization, data analysis, and AI-enabled improvement.
Assist with deployment of AX/DX solutions, including remote operations, automated control, product traceability, fault detection, vision inspection, and preventive maintenance tools.
Participate in design reviews, specification reviews, Site Acceptance Testing (SAT), commissioning, functionality checks, performance validation, and production stabilization under supervision.
Support troubleshooting and maintenance of AX/DX systems and related production technology, including PC-based control systems, markers, vision cameras, sensors, interfaces, and network-connected equipment.
Collect and analyze manufacturing and system data to support root-cause analysis, system optimization, and improvements in equipment efficiency and availability.
Prepare and maintain project documentation, issue logs, test records, technical reports, standard operating procedures, and weekly or monthly status updates.
Track project schedules, action items, risks, and deliverables while communicating progress to engineers, internal stakeholders, headquarters teams, and vendors.
Support investment planning, budget tracking, vendor evaluation, equipment and software procurement, and lifecycle management activities as assigned.
Follow site safety, environmental, cybersecurity, and change-management requirements during implementation and support activities.
Perform other related duties as assigned.