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?
1. Growth - You are a self-driven individual who seeks and captures the opportunities for growth we offer by acquiring and solving tasks.
2. Challenge - You reach beyond expectations and strive for innovative methods beyond the traditional.
3. Action - You are driven, take initiative, can execute decisions with agility and fulfill tasks to completion.
4. 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.
Recruitment Fraud Alert Notice
We have recently become aware of fraudulent recruiting activities in which individuals falsely claiming to represent LG Energy Solution Arizona, Inc. contact job seekers, advertise fictitious employment opportunities, request personal information, or seek payment in connection with an application or job offer.
LG Energy Solution Arizona, Inc. will never request payment, fees, gift cards, banking transfers, or purchases from candidates at any stage of the recruitment process. We also do not request sensitive personal information, such as a Social Security number or date of birth, during the initial application or interview process. Certain information may be required only after a legitimate offer has been accepted and as part of the formal onboarding, payroll, background-screening, or employment-verification process.
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If you receive a suspicious communication or believe someone is fraudulently representing LG Energy Solution Arizona, Inc., do not respond or provide personal information, send money, or click any links or attachments.
We take recruitment fraud seriously and encourage all candidates to remain vigilant. Our goal is to help protect job seekers from fraudulent activity and identity theft.