Quality Engineer: Data-Driven QC for EV Batteries

LG Energy Solution; Holland (MI); On-site; USD 65,000 - 95,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Disability insurance

Life insurance

Childcare programs

Paid time off

Holidays

Global company

401k match

Job summary

LG Energy Solution Michigan Inc. (LGESMI) is seeking a Quality Engineer to lead data-driven quality improvements across shifts in Holland, MI or Phoenix, AZ.

You will oversee inspections, manage non-conformances, and ensure standardized data collection while driving continual process improvements. The role requires a bachelor’s degree or equivalent in an engineering field, lean six sigma knowledge, and experience with PFMEA/SPC.

Qualifications

• Bachelor’s degree or equivalent in engineering or related field.
• Engineering, Computer Science, or related discipline.
• Lean Six Sigma knowledge (Greenbelt or Black Belt preferred).

Responsibilities

• Oversee quality inspections across shifts.
• Submit and follow up on non-conformance reports.
• Ensure accurate and standardized data collection.
• Drive continuous improvement through data analysis and troubleshooting.
• Collaborate with team and stakeholders; work independently when needed.
• Coordinate testing for material or dimension changes.
• Provide data requests to HQ and other teams.
• Monitor SPC data and drive future changes.
• Write and maintain work instructions; train operators on changes.
• Maintain 5S3R standards on site.
• Perform other duties as assigned.

Skills

Independent work

Problem solving

Critical thinking

Project management

Attention to detail

Team collaboration

MS Office Suite

Minitab

Education

Bachelor’s degree or equivalent

Engineering/CS background

Tools

Minitab

MS Office Suite

PFMEA

SPC

Job description

LG Energy Solution Michigan Inc. (LGESMI) is seeking a Quality Engineer to lead data-driven quality improvements across shifts in Holland, MI or Phoenix, AZ.

You will oversee inspections, manage non-conformances, and ensure standardized data collection while driving continual process improvements. The role requires a bachelor’s degree or equivalent in an engineering field, lean six sigma knowledge, and experience with PFMEA/SPC.