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.

Join us today. Inspire people tomorrow.

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!

Our 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 heavily rely on high computational performance and state-of-the-art-algorithmic solutions.

In an agile setting, you will work with an excellent team of algorithm developers, software architects, and HPC engineers to ensure highest quality of the resulting software solutions. Your tasks will include managing the CI/CD process, design of a test strategy and implementing quality requirements in automated pipelines. In close collaboration with our application specialists, you will be responsible to ensure the requirements and specifications of our customers on our software products are always met.

Your innovation-driven mindset makes you follow the latest technical developments, and you look forward to taking ownership of the quality of scientific computing in our organization.

  • Intensive experience with practical software testing for high performance computing and QA tools (Git, Azure DevOps, Docker, Kubernetes, Maven, Jenkins)
  • Excellent practical programming skills with scientific Python, C++/C#, parallel computing, CUDA

  • University level degree in physics, computer science, engineering, mathematics or similar

  • Ideally proven software architecture skills and FOSS contributions

  • Good knowledge in image processing algorithms and machine learning

  • Great passion for high code quality and supportive team player