Defect Analysis Engineer (Pack & SW Analysis)

LG Energy Solution

Holland (MI)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

A leading energy solutions company in Michigan is seeking a Defect Analysis Engineer to conduct analysis and investigations related to lithium ion battery failures in electric vehicles. The role involves organizing processes, conducting experiments to identify root causes, and analyzing risks, using data-analysis tools like Python and MATLAB. The suitable candidate should have a Bachelor's degree and experience in Quality Engineering or automotive manufacturing. This is an exciting opportunity to contribute to safety improvements in advanced EV batteries.

Qualifications

  • Bachelor's degree required, MBA or MS preferred, or equivalent relevant experience.
  • 1 to 3+ years of experience in Quality Engineering role or reproducible experiment work.
  • Experience in automotive manufacturing or EV projects is a plus.

Responsibilities

  • Organize and streamline processes/procedures.
  • Conduct experiments to verify probable cause of issues.
  • Perform analysis of battery structure and design safety risks.
  • Create instruction and diagnostic manuals.

Skills

Problem-solving skills
Data analysis using Python
Project management skills
Strong attention to detail
Technically proficient

Education

Bachelor’s degree

Tools

Python
MATLAB
C
3D CT analysis program

Job description

LG Energy Solution Michigan Inc. (LGESMI) develops and manufactures large lithium ion polymer batteries and modules for electric vehicle (EV) and energy storage applications. Come join the leader in advanced EV batteries! www.lgenergymi.com

Summary

As a Defect Analysis Engineer, you will conduct analysis of lithium ion battery (small, medium/large Cell, ESS) and BMS (Battery Management System) related accident site and failure parts investigation, internal and external failure samples. You will also conduct reproduction experiments (cell and pack level) in certain conditions. This job is responsible for identifying the clear root cause of safety issues, serving as a control tower to improve accident issues, and providing safe batteries to customers.

Responsibilities
  • Organize and streamline processes/procedures
  • Derive the root cause through on-site verification, investigation, and ignition analysis of safety issues
  • Conduct a reproducibility experiment to verify the probable cause of a field issue
  • Cell/Module/Pack tear-down analysis and reporting
  • Analyze structural and design safety risks of automobile & battery (Pack to Cell) system
  • Analyze Risk and cause through buyback and issue adjacent cell analysis
  • Analyze the cause of battery failure through precision analysis equipment
  • Analyze the battery-usage-history data using right tools (Python, MATLAB, C …)
  • Create instruction and diagnostic manuals
  • Perform other duties as assigned
  • Maintain cleanliness at work-site in accordance with 5S3R Standards:
    • Sort, Set in order, Shine, Standardize, Sustain
    • Right Location, Right Quantity, Right Container
Qualifications
  • Bachelor’s degree required, MBA or MS preferred, or equivalent, relevant experience
Experience
  • 1 to 3+ years of experience, including internship or co-op experience, in a Quality Engineering role or Reproducible experiment work in an automotive manufacturing environment
  • Experience in an automotive manufacturing environment or with EV/PHEV-related projects is a plus
  • Fundamental problem-solving skills related to use data-analysis tools (Python, MATLAB, C …)
Skills
  • Comfortable working independently and with others
  • Results-oriented and perseverant
  • Critical thinking and problem-solving skills
  • Project and process management skills
  • Strong attention to detail
  • Technically proficient and motivated to continuously improve
  • Use data-analysis tools like Python, MATLAB, C …
  • Capability to use 3D CT analysis program (non-destructive testing)
  • Knowledge of IATF16949 standards
  • Knowledge of Minitab, Six Sigma, 8D problem solving methodology
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