Engineer II, Production

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.

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The Production Engineer II is responsible for supporting safe, efficient, and stable manufacturing operations by independently analyzing production performance, resolving process and quality issues, and implementing continuous-improvement activities. This role works cross-functionally to improve productivity, quality, cost, and delivery performance and supports the implementation of new processes, equipment, and production standards.

• Monitor and analyze production performance, including throughput, efficiency, quality, downtime, yield, and other key production indicators.
• Identify production issues and operational risks and independently investigate routine to moderately complex process, quality, and equipment-related concerns.
• Conduct root cause analysis and implement and validate corrective and preventive actions.
• Develop and implement production improvement activities to increase productivity, quality, efficiency, and cost effectiveness.
• Support short- and mid-term improvement projects addressing recurring production, quality, or process issues.
• Prepare and maintain production performance reports, identify trends and risks, and recommend appropriate improvement actions.
• Support Six Sigma, Lean, Kaizen, and other continuous-improvement initiatives through data analysis, project execution, and results tracking.
• Coordinate with Production, Quality, Maintenance, Equipment, Safety, Purchasing, and other cross-functional teams to resolve production and technical issues.
• Collaborate with LGES global manufacturing teams and external vendors, as applicable, to support process optimization, technical problem-solving, and production improvements.
• Support the introduction, trial, validation, and stabilization of new products, processes, or equipment.
• Develop and update standard operating procedures, work instructions, control plans, process documentation, and other applicable production standards.
• Monitor the effectiveness of implemented improvements and recommend additional actions when performance targets are not achieved.
• Provide technical support to production personnel and assist with training operators and technicians on new or revised processes, equipment, and procedures.
• Maintain workplace organization and cleanliness in accordance with 5S and 3R standards.
• Ensure compliance with applicable company policies, safety standards, environmental requirements, and regulatory requirements.
• Perform other duties as assigned.

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Manufacturing Engineering, Industrial Engineering, or a related technical field.
• Three or more years of engineering experience in a manufacturing, production, or plant environment.
• Demonstrated experience with production processes, manufacturing problem-solving, root cause analysis, and continuous improvement.
• Experience analyzing production data and using results to identify and implement process improvements.
• Proficiency with Microsoft Office applications.
• Ability to wear required personal protective equipment for scheduled shifts of up to 12 hours.
• Ability to occasionally lift, push, or pull up to 35 pounds.
• Ability to stoop, twist, bend, reach overhead, and sit or stand for extended periods.
• Ability to work effectively in a fast-paced, hands-on manufacturing environment.

• Production and manufacturing process analysis.
• Root Cause Analysis (RCA).
• Design of Experiments (DOE).
• Lean manufacturing and continuous-improvement methodologies.
• PFMEA and other quality or risk-analysis tools.
• Production data analysis and statistical problem-solving.
• JMP, Minitab, or similar statistical-analysis software preferred.
• CAD or production-management systems preferred.
• Six Sigma certification or demonstrated practical application preferred.
• Strong cross-functional communication and problem-solving skills.

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