Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.

In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.

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Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.

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Shape the digital future of ZEISS in the Global Algorithms & Software Semiconductor Mask Solutions team!

Your sophisticated algorithms evaluate enormous amounts of image data in a highly efficient manner. Only in this way we enable the performance of our complex photomask systems - the essential building block to manufacture defect-free microchips.

Your Role

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

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 continuously expand your network within the company and are in close contact with our research partners.

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

Profil

• Excellent practical programming experience with: Scientific Python, and possibly C++, preferably also with parallel computing (CUDA, Cloud)

• Ideally 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

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