Quality Engineer, Drive Unit

2 Months ago • 1 Years + • Manufacturing

Job Summary

Job Description

Tesla's Gigafactory Berlin-Brandenburg seeks a Quality Engineer for Drive Units. Responsibilities include solving complex technical challenges, conducting root cause analysis (8D, Lean Six Sigma, Shainin), implementing corrective actions, performing FMEAs, developing quality controls, designing experiments (DOE), improving customer satisfaction, and supporting capability analysis. The role requires collaboration with cross-functional teams (Design, Production, Operations, Controls, Maintenance) and utilizes statistical methods (Minitab, JMP). The ideal candidate will have a Bachelor's/Master's degree in Engineering and experience in electro-mechanical manufacturing and Quality Engineering.
Must have:
  • Bachelor's/Master's in Engineering
  • 1+ years in electro-mechanical manufacturing & QE
  • Automotive Core Tools expertise (8D, FMEA, etc.)
  • Problem-solving skills (8D, Lean Six Sigma, Shainin)
  • Statistical methods & data analysis proficiency
Good to have:
  • ISO 9001 & IATF 16949 knowledge
  • Minitab/JMP expertise
  • Data mining/database/scripting experience (e.g., Python)
  • German fluency

Job Details

What to Expect

Tesla is at the forefront of the global transition to sustainable energy, and we are expanding our operations in the critical areas of Vehicle and Powertrain production. As we continue to drive innovation, we are seeking a highly skilled professional to join our Quality Engineering team and contribute to our mission of delivering exceptional products and processes.

If you are a motivated and experienced professional looking to join a dynamic and innovative company, we invite you to apply for this challenging and rewarding opportunity. As a member of the Tesla team, you will be expected to bring a high level of expertise, dedication, and passion to your work, and to contribute to our ongoing commitment to excellence in Quality Engineering.

What You’ll Do
  • Accountable to solve complex technical challenges for drive units and its components impacting internal and external customers by running problem solving process utilizing methodologies such as 8D, Lean Six Sigma and Shainin. 
  • Work in cross functional teams to implement containment actions, conducting in depth root cause analysis, executing corrective and preventive actions as required.
  • Driving Design & Process Failure Mode Effect Analysis (FMEA) to identify risks and define appropriate actions to mitigate this risks together with cross-functional teams.
  • Develop, validate, implement and consistently improving effective quality controls across production lines in coordination with Design, Production, Operations, Controls and Maintenance teams.
  • Design effective experiments using DOE or other methods to support design and production teams in investigation of various alternative to resolve quality issues.
  • Achieve and improve internal & external customer satisfaction, reducing nonconformities & scrap and improving first pass yield as well as additional relevant objectives and key results.
  • Support capability analysis to investigate and drive improvements of production and supplier processes to meet defined requirements. 
What You’ll Bring
  • Bachelor/Master Degree of Science in Electrical, Mechanical, Materials or Industrial Engineering, or evidence of expectational experience in related fields.
  • Minimum 1 year of experience in electro-mechanical manufacturing environment and Quality Engineering function
  • Fundamental understanding and ability to apply the Automotive Core Tools and other relevant methods and tools (8D, FMEA, Control Plan, SPC, MSA, APQP, PPAP).
  • Excellent problem solving skills and expertise using 8D, Lean Six Sigma and Shainin methodology, relevant certification as plus
  • Understanding and familiarity with Quality Management standards ISO 9001 and IATF 16949
  • Strong background and demonstrated success applying statistical method for large set of data. Minitab, JMP or other statistical software expertise are preferred.
  • Data mining, databases and scripting experience (eg. MySQL, Python)
  • Fluency in English and German as plus

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