Junior DevOps Engineer (m/w/d) Nürnberg Vollzeit devops excellence AG QA Engineer Scientific Computing (f/m/x) Jena Vollzeit ZEISS Group Frontend Engineer (f/m/x) Berlin Vollzeit Deutsche Bank
🔬 ZEISS Jena sucht Scientific DevOps Engineer (f/m/x) für innovative Bildanalyse
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ZEISS Group
Jena
Stichworte
Zusammenfassung
Die ZEISS Group in Jena sucht einen Scientific DevOps Engineer (f/m/x) zur Verstärkung des globalen Algorithmen-Teams im Bereich Semiconductor Mask Solutions (SMS). In dieser Rolle automatisieren Sie Benchmarks, Qualitätskontrollen und entwickeln eine DevOps-Infrastruktur für wissenschaftliche Simulationen und Datenanalyse-Pipelines. Sie arbeiten in einem agilen Team mit Algorithmusentwicklern und High-Performance-Computing-Ingenieuren zusammen, um die automatisierte Bildanalyse voranzutreiben. Bringen Sie Ihr innovationsorientiertes Denken ein und übernehmen Sie Verantwortung für die Qualität des Scientific Computing. Werden Sie Teil von #TeamZeiss und gestalten Sie die Zukunft der Chipherstellung!
Benefits und Qualifikationen
- DevOps-Erfahrung für Scientific Computing
- Kenntnisse in Automatisierungstools (CI/CD, Azure DevOps, Kubernetes, Docker)
- Verständnis von Bildverarbeitungsalgorithmen
Stellenausschreibung
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!
Your Role
As part of an agile team you will work side-by-side with algorithm developers, high-performance computing engineers and domain experts to take automated image analysis to the next level. Your task is the automation of benchmarks, quality control and development of DevOps infrastructure for scientific simulations and data analysis pipelines. Your innovation-driven mindset makes you follow the latest technical developments, and you want to take ownership for the quality of scientific computing in our organization.
Your Profile
- Intensive experience with DevOps engineering for scientific computing
- Excellent practical skills with automatization tools for software quality assurance (CI/CD in Azure DevOps, Kubernetes, Docker,…) and scientific Python/Matlab/C#/C++
- Good understanding of image processing algorithms, and simulation pipelines
- University level degree in physics, computer science, engineering, mathematics or similar
- Problem solver and supportive team player
Your ZEISS Recruiting Team:
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