Become an integral part of the innovative journey at ZEISS within the Global Algorithms & Software Semiconductor Mask Solutions division. Our sophisticated algorithms are designed to efficiently handle vast quantities of image data, which is essential for optimizing the performance of our photomask systems used in flawless microchip manufacturing.

Position Summary:

• Collaborate in an agile setting with a talented group of algorithm developers, software architects, and high-performance computing engineers to produce superior software solutions.
• Oversee the continuous integration and delivery processes, formulate a detailed testing strategy, and uphold quality standards through automated workflows.
• Work closely with application specialists to fulfill client needs and ensure that software product specifications are consistently achieved.
• Remain informed about the latest technological advancements, taking the initiative to improve the quality of scientific computing within the organization.

Qualifications:

• Proven experience in practical software testing for high-performance computing and familiarity with QA tools such as Git, Azure DevOps, Docker, Kubernetes, Maven, and Jenkins.
• Strong programming capabilities in scientific Python, C++/C#, parallel computing, and CUDA.
• University-level education in physics, computer science, engineering, mathematics, or a related discipline.
• Ideally, demonstrated proficiency in software architecture and contributions to open-source software projects.
• Solid understanding of image processing algorithms and machine learning concepts.
• Committed to maintaining high-quality code and a collaborative team player.

Contribute to the pioneering work at ZEISS Semiconductor Mask Solutions, shaping advanced technologies that propel the future of digital imaging and lithography.