Engineer Product Engineering (f/m/d)

In this role you apply deep technical and analytical skills to analyze parametric, functional, and manufacturing data to drive yield and quality improvements. You will work with cross-functional experts to identify root causes and implement data-driven measures across product engineering and production, including new product analyses and digitalization of complex data. The position involves reporting results to stakeholders and contributing to international product development efforts, with a focus on making products greener and more reliable at scale.

• Analyze and correlate data from parametric tests, functional tests and manufacturing processes using advanced methods and tools
• Identify and perform in-depth analyses of yield detractors related to design, test and technology, deriving improvement measures
• Optimize product yield and quality and evaluate manufacturing experiments in collaboration with experts from different technical areas
• Analyze new products and own yield performance during volume production, including wafer disposition after functional testing
• Develop and apply digitalization methods to efficiently analyze and evaluate complex technical data
• Contribute to international product development projects and regularly report on yield performance and analysis results to internal and external stakeholders

• A university degree in Electrical Engineering, Physics, Chemistry or a comparable technical discipline
• At least 3–5 years of professional experience in the semiconductor industry, ideally in Product Engineering
• Excellent Product Engineering expertise and experience in yield improvement, quality enhancement and physical failure analysis
• Strong data affinity and analytical curiosity, with the motivation to dig deep into complex datasets and technical challenges and systematically investigate root causes
• Experience in correlating different data sources and parameters, combined with strong computer and tool affinity
• Strong problem-solving, communication and stakeholder management skills, as well as confident communication in both English and German

• Strong communication and stakeholder management
• Collaborative cross-functional teamwork
• Analytical curiosity and problem-solving mindset
• Data analysis and correlation across heterogeneous data sources
• Digitalization methods for complex data
• Failure analysis techniques