Sr. Quality Engineer, General Assembly (m/w/d) - Gigafactory Berlin-Brandenburg

What to Expect

The primary objective of this role is to ensure the production of safe, reliable, high-performance General Assembly that meet Tesla’s high standard of excellence.  A successful candidate is data-driven, excels at complex problem solving, has a strong quality and customer-focused mindset, and can lead cross-functional teams to identify and eliminate potential quality risks.

What You’ll Do

• Develop manufacturing requirements, quality standards, and product quality plans to ensure products will meet expectations of our target customers
•  Lead the development of FMEAs to identify critical risks in design and manufacturing, and drive action to mitigate said risks with cross-functional teams.
• Develop, validate, and rollout critical quality controls across production lines, in coordination with design and manufacturing teams.
• Qualification of new production lines and processes by utilizing FMEAs, control plans, capability analysis, MSAs, DOEs, etc.
• Lead systematic root cause and corrective/preventative action deployment to address critical product and production risks across the factory.
• Solve complex quality issues by utilizing advanced statistical concepts.
• Identify supplier quality issues and risks, define inspection requirements, and coordinate with supply chain teams to drive corrective actions at the supplier level.
•  Support the development of DFMEAs to determine potential risks in product design and support resolution of high-risk issues.
• Track quality performance metrics, prioritize top issues, and drive continuous improvement activities with cross-functional teams.
• Provide technical expertise and mentorship to junior-level engineers and technicians.

What You’ll Bring

• Bachelor of Science in Electrical, Mechanical, or Industrial Engineering, Physics, Chemistry, or related fields.
• 3-5 years of experience in a high-volume manufacturing environment (automotive, vehicle EOL and General Assembly Final Lines, or aerospace fields are preferred).
• Experienced in QS-9000, ISO/TS 16949, APQP, PPAP, DFMEA, PFMEA required
•  Proficient in advanced statistical methods, large-scale data analysis, measurement systems analysis, SPC, etc.
•  Minitab, JMP, or other statistical software capabilities are preferred.
•  Database and basic programming proficiencies are preferred (SQL, Python, etc.).
•  Excellent verbal and written communication skills are required.