Engineer I, Smart Factory

LG Energy Solution Arizona; Queen Creek (AZ); On-site; USD 52,000 - 76,000; Full time

Job summary

LG Energy Solution Arizona, Inc. invites an entry-level Engineer I, Smart Factory to support implementation, validation, troubleshooting, and continuous improvement of AX/DX systems across battery manufacturing operations.

You will work under the guidance of senior engineers and collaborate with production, IT/MES, and vendors to learn manufacturing systems and data-driven improvement. This role emphasizes growth, cross-functional project execution, and hands-on experience in automation, digital

Qualifications

• Bachelor’s degree in a relevant engineering field is required.
• 0–2 years of internship or related experience in manufacturing engineering or automation.
• Interest in smart factory technologies and data-driven improvements.

Responsibilities

• Support review of manufacturing processes and opportunities for automation.
• Assist with deployment of AX/DX solutions, including remote operations and product traceability.
• Participate in design reviews, SAT, commissioning, and production stabilization.
• Support troubleshooting and maintenance of AX/DX systems.
• Collect and analyze manufacturing data for root-cause analysis.

Skills

Written & verbal communication

Analytical problem solving

Programming/Data analysis

Education

Bachelor's degree in Engineering

Tools

Python

C#

SQL

Power BI

Excel

Job description

We awaken the world with energy.

LG Energy Solution is the global leader in lithium-ion battery technology for electric vehicles and energy storage solutions. Located in Queen Creek, Arizona, LG Energy Solution Arizona, Inc. is LG Group's first cylindrical battery manufacturer in North America, leading the widespread distribution of electric vehicles with the most advanced battery technology in the world.

Join us as we inspire our talent with growth, challenge, action and collaboration to Empower Every Possibility!

At LG Energy Solution Arizona, Inc., the Engineer I, Smart Factory (AX/DX) will 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 designed for a recent engineering graduate or early-career professional who is eager to learn manufacturing systems, production technology, data-driven improvement, and cross-functional project execution. The position works under the guidance of senior engineers and collaborates with production, equipment, quality, IT/MES, parent headquarters, and external vendors to support stable operation and improvement of AX/DX systems.

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.

Qualifications

• 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.

Skills

• 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.
• 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.
• Proficiency in Microsoft Office tools for report writing, presentations, project tracking, and data analysis.
• Ability to work in a multicultural or globally distributed organization preferred.
• Bilingual proficiency in English and Korean preferred, but not required.

Why should you work here?

• Growth - You are a self‑driven individual who seeks and captures the opportunities for growth we offer by acquiring and solving tasks.
• Challenge - You reach beyond expectations and strive for innovative methods beyond the traditional.
• Action - You are driven, take initiative, can execute decisions with agility and fulfill tasks to completion.
• Collaboration - You are enthusiastic about teamwork while respecting the different backgrounds and experience of colleagues.

EEO Statement

LG Energy Solution Arizona, Inc. is an Equal Employment Opportunity Employer.