QA Engineer Scientific Computing (f/m/x)
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.
Your Profile
Intensive experience with practicalsoftware 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
Your ZEISS Recruiting Team :
Kathrin Siegel
QA Engineer Scientific Computing (f/m/x)
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 practicalsoftware testing for high performance computing and QA tools (Git, Azure DevOps, ...
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