Scientific Software Engineer (f/m/x)

Working for tomorrow today.

Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every electronically controlled system, they have become an integral part of our everyday lives – whether in smartphones, smart homes or smart factories. ZEISS is a technology leader in the field of semiconductor manufacturing equipment. With high-precision lithography optics, photomask systems and process control solutions, ZEISS enables the production of ever smaller, increasingly powerful, and more energy-efficient microchips, and thus plays a pivotal role in the age of micro- and nanoelectronics.

Semiconductor lithography drives today’s digitalization and inherently relies on defect-free photomasks – the blue print for every microchip. Our devices analyze and manipulate such photomasks by processing huge amounts of data with state-of-the-art algorithms. Become part of the global algorithms team at SMS and shape the future of chip manufacturing!

Join #TeamZeiss in the Semiconductor Mask Solutions (SMS) business unit.

Your Role

As part of an agile team you will work side-by-side with machine learning scientists, software architects, high-performance computing engineers and domain experts to take the quality of our algorithmic solutions to the next level. Your task is to support your colleagues with your software engineering expertise, set best practices, train and teach, design a test strategy, manage CI/CD and maintain cross-cutting software modules for leading-edge simulation, image processing and ML software packages. Your innovation-driven mindset makes you follow the latest technical developments, and you embrace the challenge of taking ownership for the quality of scientific computing in our organization.

Your Profile

• Excellent practical programming skills with scientific Python or C++/C#, FOSS contributions are a bonus

• Practical experience with software testing and CI/CD, including tools (Git, Azure DevOps Pipelines/GitHub Actions, Docker, Kubernetes)

• Ideally proven software architecture skills

• University level degree in physics, computer science, engineering, mathematics or similar

• Basic knowledge of image processing algorithms and machine learning

• Passion for high software quality with the ambition and pragmatism to implement it in dynamic work environments

• Role-model and supportive team player with excellent communication skills

• Very good german und english skill

Your ZEISS Recruiting Team:

Kathrin Siegel