- 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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HPC Engineer Scientific Computing - Jena, Deutschland - ZEISS Group
Beschreibung
Shape the digital futureof ZEISS in the Global Algorithms & Software Semiconductor Mask Solutions team
Your sophisticated algorithmsevaluateenormousamountsofimagedata in a highlyefficientmanner. Only in thiswayweenabletheperformanceofourcomplexphotomasksystems - the essential buildingblocktomanufacturedefect-freemicrochips.
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 implementhighly 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
Your ZEISS Recruiting Team:
Kathrin Siegel