Jetzt bewerben: HPC Engineer Scientific Computing (f/m/x) bei ZEISS Group in Jena

ZEISS Group

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.

Your Profile

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

Your ZEISS Recruiting Team:

Kathrin Siegel