HPC Engineer Scientific Computing (f/m/x)

ZEISS

Job Description
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.

Apply now! It takes less than 10 minutes.


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 high performance computing.

You will architect and implement highly numerical algorithms in expert teams. Number crunching is what your makes your heart beat higher. 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.


  • Excellent practical programming experience with: Scientific Python, C++, C#, parallel computing, CUDA, and Cloud

  • Intensive experience in implementing numerical simulation methods and optimization techniques for solving hard numerical problems

  • Good knowledge of image processing and machine learning as well as optics

  • Ideally proven SW architecture skills and FOSS contributions

  • 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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