ZEISS Industrial Quality Solution stands for pioneering measurement technology with more than 100 years of tradition. We develop and produce high-performance tactile, optical 3D and X-ray measuring devices and also offer suitable software solutions for analysing measurement data. With a strong and broad technology and software portfolio, comprehensive expertise and a global presence, ZEISS is a preferred partner in a wide range of industries, including electromobility, medical technology, additive manufacturing and aircraft construction.
implement the latest Computer Vision, Machine Learning and Artificial Intelligence technologies into stable high-performance software to enable quality assurance in near-production industrial environments
enable our dynamic and highly motivated agile teams to provide AI-based workflows for optical, surface and X-ray metrology
write performant, high-quality code and check the quality with unit, integration, and acceptance tests
significantly shape the development of our software for training and applying deep learning methods for feature and defect detection
be a mentor for your colleagues in the application of machine learning and AI
a successfully completed degree in Computer Science / Mathematics / Physics / Electrical Engineering with a focus on 2D / 3D image processing (Computer Vision, Machine Learning) or a comparable qualification
practical experience with machine learning and the deep learning tech stack in products (e.g. PyTorch, ONNX, TensorRT)
several years of professional experience in software development with Python, C++, parallel programming paradigms and CI/CD (e.g. Git, Testing, Azure DevOps).
enthusiasm for Clean Code, Design Principles, and modern programming paradigms.
very good German and English language skills, both written and spoken.
strong communication skills, customer orientation, team spirit, hands-on mentality, as well as a self-reliant and organized approach.
Become part of TeamZEISS and set new standards with AI in industrial measurement technology!
JBGL1_DE
Typ:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Development & ITErfahrung:
2+ yearsArbeitsverhältnis:
AngestelltVeröffentlichungsdatum:
21 Aug 2025Standort:
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