Jobbeschreibung
Step out of your comfort zone, excel and redefine the limits of what is possible. That's just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people.In a spacious modern setting full of opportunities for further development, ZEISS employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of the Carl Zeiss Foundation: to bring science and society into the future together.
Join us today. Inspire people tomorrow.
Diversity is a part of ZEISS. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity.
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Enable the manufacturing of next generation microchips and join #TeamZeiss in the Semiconductor Mask Solutions (SMS) business unit.
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!
As part of an agile team you will work side-by-side with signal processing experts, software architects, high-performance computing engineers and domain experts to turn measurement data into insights for our customers. Your task is to design, tune and integrate modern computer vision algorithms to take our imaging processing solutions to the next level. Your innovation-driven mindset makes you follow the latest technical developments, and you embrace the challenge of automated interpretation of visual information.
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5+ years professional experience with signal processing, pattern recognition and machine learning
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Excellent practical programming skills with scientific Python, C++/C#, CUDA
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2+ years practical experience in software engineering and deep learning tools (PyTorch, Tensorflow, Kubernetes, Docker, OpenCV)
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University level degree in physics, computer science, engineering, mathematics or similar
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Ideally proven software engineering skills and FOSS contributions
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Problem solver and supportive team player