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 machine learning scientists, software architects, high-performance computing engineers and domain experts to take ML-based data analysis to the next level. Your task is to tune, operate and integrate modern ML system to process simulations and measurements from our high-tech imaging devices. Your innovation-driven mindset makes you follow the latest technical developments, and you embrace the challenge of turning a machine learning solution into a digital product.
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Intensive experience with ML architectures and ML operational tools (Kubeflow, Kubernetes, MLFlow, Data Version Control, Weights & Biases)
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Excellent practical programming skills with scientific Python, C++/C#, CUDA
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Good knowledge in image processing algorithms and computer vision
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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
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very good German und Englisch Skills