Senior Process Technician: Yield & Process Optimization

LG Energy Solution Michigan, Inc.; Matteson (IL); On-site; USD 41,000 - 69,000; Full time

Job summary

LG Energy Solution Michigan Inc. (LGESMI) develops and manufactures large lithium ion polymer batteries and packs for EVs and energy storage applications.

The Process Technician III will monitor production processes, collect data, and assist with process optimization to improve product quality and production efficiency. Responsibilities include monitoring parameter sets, analyzing performance data, supporting yield enhancements, investigating root causes, validating new processes, and

Qualifications

• Minimum high school diploma or GED with relevant manufacturing exposure.
• Preferred technical certification or associate degree in a related field.
• Journeyman or equivalent certification is desirable.

Responsibilities

• Monitor and maintain manufacturing process parameters.
• Collect, analyze, and report process performance data.
• Support yield improvement and quality initiative efforts.
• Investigate process-related issues and identify root causes.
• Assist in validating new processes and production conditions.
• Maintain process documentation, work instructions, and SOPs.
• Collaborate with production, quality, and engineering teams on improvements.
• Support change management and continuous improvement activities.
• Ensure compliance with safety and quality standards.

Skills

Planning

Organization

Time management

Attention to detail

Problem solving

Continuous improvement

Education

High School Diploma or GED

Vocational Certificate or Associate's Degree

Journeyman's certificate or equivalent

Job description

LG Energy Solution Michigan Inc. (LGESMI) develops and manufactures large lithium ion polymer batteries and packs for EVs and energy storage applications.

The Process Technician III will monitor production processes, collect data, and assist with process optimization to improve product quality and production efficiency. Responsibilities include monitoring parameter sets, analyzing performance data, supporting yield enhancements, investigating root causes, validating new processes, and