(Associate) Supplier Quality Engineer, Glass

(Associate) Supplier Quality Engineer, Glass

Tesla

Grünheide, Germany

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 5 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.