Principal Engineer Quality Management System, Processes, Methods, Tools (f/m/div)

In this role you lead Burn-in (BI) strategy and methodologies as the technical and methodological expert, driving continuous improvements within the Quality Management System. You co-create with cross-functional teams across Front-End, Back-End, and product development to ensure high reliability and performance. You guide design-for-stress activities, mentor teams, and own critical, long-term quality initiatives that strengthen automotive governance and supplier/landed quality. You shape scalable quality processes and act as a trusted advisor to customers and internal stakeholders.

• Act as BI technical lead, steering BI decisions and interfacing with technology/product teams and statistics
• Coach and transfer BI knowledge to cross-functional teams to standardize BI understanding
• Support DfS sustaining activities and manage DfS Jira Tickets with stakeholders
• Provide first-level internal support for automotive governance inquiries with timely, solution-oriented responses
• Prioritize and drive long-term critical topics requiring sustained attention
• Collaborate with FE, BE, and product teams to apply failure analysis, defects, and test conditions to quality decisions
• Lead customer communications on early BI topics
• Contribute to continuous improvement of QMS, processes, methods, and tools across the supply chain
• Maintain strong automotive quality mindset in quality management activities
• Lead initiatives to improve BI, DfS, and QMS in line with company goals

• Degree in Electrical Engineering, Microelectronics, Materials Science, Physics, or related field
• At least 6 years of professional experience in semiconductor manufacturing with focus on quality management along supply chain, FE/BE processes, and reliability testing
• Expert-level knowledge in Burn-in methodologies including physical failure mechanisms, defect analysis, FA, and relevant test conditions
• Proven experience as a technical lead in a cross-functional environment; ability to drive decisions and manage DfS activities
• Solid understanding of wafer manufacturing, data analysis basics, and familiarity with chip design, test engineering, and product development
• Proficiency with Confluence, Jira, and intranet platforms
• Strong automotive quality mindset and knowledge of automotive requirements
• Outstanding interpersonal skills and a service-oriented, coaching mindset to foster collaboration
• Fluent English (written and spoken); German is a plus

• coaching and teaching
• cross-functional collaboration
• service-oriented mindset
• Burn-in methodologies
• Physical failure mechanisms
• Defect analysis (FA)