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Platform Development Engineer (m/w/x)
Developing a data-driven software reliability prediction platform for semiconductor manufacturing equipment. Strong software engineering, data science, and full-stack web development skills required. Building scalable data pipelines with simulation, test, and production data.
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Anforderungen
- Degree in computer science, data science, software engineering, industrial engineering, or comparable technical field
- Strong software engineering skills with practical experience in Python, C#, TypeScript/JavaScript or any high-level programming languages, clean code, modular design, and maintainable architectures
- Hands-on experience and understanding of data science, statistics, machine learning, predictive analytics, and reliability modeling
- Experience with data engineering concepts (data pipelines, data quality, ETL/ELT, databases, APIs, heterogeneous technical data sources)
- Hands-on experience in full-stack web development (modern frontend frameworks, backend services, REST APIs, authentication concepts, dashboards, visualizations)
- Good knowledge of DevOps and cloud native development/deployment approaches, GitOps, CI/CD, automated testing, and agile software development practices
- Analytical mindset, structured working style, and ability to translate complex technical requirements into pragmatic software solutions
- Comfortable with English
- German is an added advantage
Aufgaben
- Develop a data-driven software reliability prediction platform
- Combine simulation, test, production, field issues, and DevOps data into scalable data pipelines
- Build reliable analytical foundations
- Apply statistical, data science, and machine learning methods to identify reliability risks
- Apply statistical, data science, and machine learning methods to identify failure patterns
- Apply statistical, data science, and machine learning methods to identify quality trends
- Design and implement full-stack web solutions
- Integrate user interfaces, backend services, APIs, and dashboards
- Integrate with enterprise systems for stakeholder presentations
- Integrate reliability models and algorithms into maintainable software components
- Support engineering and quality assurance decisions
- Collaborate with operations and R&D to build out Reliability prediction models
- Collaborate with operations and R&D to integrate Reliability prediction models across software and manufacturing machines
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Tools & Technologien
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens Carl Zeiss SMT GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei Carl Zeiss SMT GmbHÜber das Unternehmen
Das Unternehmen ist Technologieführer im Bereich Halbleiterfertigungs-Equipment und ermöglicht die Herstellung von leistungsfähigeren und energieeffizienteren Mikrochips.
Nejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
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