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An innovative technology leader is seeking a Scientific Software Engineer to join their algorithms team. In this role, you will collaborate with machine learning scientists and software architects to enhance algorithmic solutions for semiconductor manufacturing. Your expertise in programming, CI/CD, and software testing will be pivotal in ensuring high-quality software for cutting-edge simulation and image processing. This dynamic environment offers the chance to work on state-of-the-art technologies that play a crucial role in the digitalization of the semiconductor industry. If you are passionate about software quality and eager to make an impact, this position is perfect for you.
Scientific Software Engineer (f/m/x)
Locations: Jena, Roßdorf, Oberkochen
Time Type: Full time
Posted on: Posted 2 Days Ago
Job Requisition ID: JR_1035509
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 blueprint 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.
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 ZEISS Recruiting Team:
Friedemann Fischer