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Engineer Product Engineering (f/m/d)

Infineon Technologies AG

DresdenPosted Oct 22, 2026
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Do you have deep technical expertise, a strong affinity for data and enjoy getting to the bottom of complex analytical challenges? In this role, you will combine your technical expertise with data-driven analysis to identify correlations across test and manufacturing data and derive targeted measures to optimize the quality and yield of our products. Your role Key responsibilities in your new role • Analyze and correlate data from parametric tests, functional tests and manufacturing processes using advanced analytical methods and tools • Identify and perform in-depth analyses of yield detractors related to design, test and technology, and derive appropriate improvement measures • Optimize product yield and quality and evaluate manufacturing experiments in close collaboration with experts from different technical areas • Analyze new products and take ownership of yield performance during volume production, including wafer disposition following 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 Your profile You enjoy digging deep into technical challenges and complex data, identifying patterns and correlations, and systematically investigating issues to understand their root causes. You combine strong analytical skills and technical curiosity with a high affinity for data, computers and digital tools. At the same time, you communicate your findings effectively and enjoy collaborating with experts across different functions. Qualifications and skills to help you succeed • 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 #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity. Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Nicole Hippmann

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Original posting: jobs.infineon.com

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RISC-V ecosystem

Infineon Technologies AG in the RISC-V ecosystem

RISC-V International: Premier Board

Infineon Technologies AG is a German semiconductor manufacturer founded in 1999, when the semiconductor operations of the parent company Siemens AG were spun off.

  • Brought RISC-V to automotive: first to announce an automotive RISC-V microcontroller family
  • Showed a virtual prototype/virtual automotive RISC-V chip with Synopsys for early software development

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