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Algorithms and Software Engineer for Semiconductor Solutions

vor 2 Monaten


Oberkochen, Baden-Württemberg, Deutschland ZEISS Group Vollzeit

**Shape the Digital Future of ZEISS**

As a key member of our Global Algorithms & Software Semiconductor Mask Solutions team, you will play a crucial role in shaping the future of ZEISS.

**Your Expertise in Algorithms**

Your sophisticated algorithms will evaluate enormous amounts of image data in a highly efficient manner, enabling the performance of our complex photomask systems. These systems are essential for manufacturing defect-free microchips.

**Your Role in Our Team**

Our high-tech measurement systems for semiconductor lithography are characterized by extreme demands on measurement performance. This performance is achieved through optical components at the highest level. However, remaining manufacturing tolerances lead to almost insurmountable accuracy limits. Breaking through these limits using algorithms is your new challenge at ZEISS.

**Your Key Responsibilities**

You will architect and implement highly accurate mathematical-optical models and their numerical solutions in expert teams. Your tasks will range from conceptual design to implementation and performance evaluation. Product maturity and value-adding algorithms are your success. You will continuously expand your network within the company and be in close contact with our research partners.

**Your Innovation-Driven Mindset**

Your innovation-driven mindset will allow you to keep an eye on the latest technical developments and publications. You and your colleagues will create the conditions for excellence.

**Your Profile**

  • Excellent practical programming experience with Scientific Python, and possibly C++, preferably also with parallel computing (CUDA, Cloud)
  • Ideal proven SW architecture skills and FOSS contributions
  • Intensive experience in implementing numerical simulation methods and optimization techniques for solving forward and inverse problems
  • Very good knowledge of classical image processing and machine learning as well as good physical and methodological knowledge of geometric and physical optics
  • A very successfully completed degree in physics, computer science, engineering, or applied mathematics
  • Great passion to successfully solve complex and difficult problems independently and in a team