- Drive data‑driven insights across semiconductor test structures and product lifecycles.
- Strong focus on yield improvement, failure analysis and product performance.
- Transform large‑scale manufacturing and test data into actionable insights.
- Collaborate at the intersection of Yield Engineering, Product Engineering and Data Science.
- Improve yield, quality and cost through advanced analytics and automation.
- Apply strong semiconductor domain expertise combined with data analysis capabilities.
Product Engineering Analyst (Yield & Data)
Dresden
Full-time
Permanent employee
Role Overview
Must Have
- Strong experience in data analysis within semiconductor or manufacturing environments
- Proficiency in Python (Pandas, NumPy, SciPy, Matplotlib)
- Strong knowledge of statistics and data modeling
- Understanding of semiconductor yield concepts and test flows (CP/FT)
Responsibilities
- Analyze large‑scale datasets from wafer sort (CP), final test (FT) and fab processes to drive yield and product insights.
- Conduct Pareto analyses, binning studies and correlation analyses across process, test and product parameters.
- Identify systematic yield limiters and lead root‑cause investigations of product and process failures.
- Develop and apply statistical and data‑driven models to support yield and performance optimization.
- Design, develop and maintain automated data pipelines and analysis tools.
- Create dashboards, automated reports and visualization tools for scalable insights.
- Enable data‑driven decision‑making across cross‑functional teams and stakeholders.
Your profile
- Basic programming proficiency, particularly in Python.
- Experience with SQL and database querying.
- Strong analytical mindset with a high level of attention to detail.
- Ability to translate complex data into meaningful engineering insights and actionable recommendations.
- Proactive, automation‑driven approach to problem solving.
- Comfortable working in cross‑functional, collaborative environments.
Ideal fit
- Background in Electrical Engineering or Microelectronics.
- Expertise as a Product Engineer and/or Yield Engineer.
- Familiarity with semiconductor test data formats (STDF/ATDF), including wafer maps and binning analysis.
- Experience using data visualization and analytics tools to interpret large datasets.
- Working knowledge of Design of Experiments (DOE) and Statistical Process Control (SPC) methodologies
- Proficency working with large-scale data pipelines and/or cloud-based data platforms.
Über uns
Die Ferroelectric Memory GmbH (FMC) ist ein innovatives Halbleiterunternehmen mit Sitz in Dresden, Deutschland, das sich auf nichtflüchtige Speichertechnologien der nächsten Generation spezialisiert hat.
Gegründet im Jahr 2016, steht FMC an der Spitze der Innovation im Bereich ferroelektrischer Speicher und ermöglicht schnellere, energieeffizientere und skalierbare Lösungen für zukünftige Computersysteme.
Unser Team vereint umfassende Expertise in Halbleiterphysik, Device Engineering und Systemdesign, um Speicherarchitekturen für neue Anwendungen in den Bereichen KI, IoT und Hochleistungsrechnen neu zu definieren.
Werden Sie Teil unseres Teams und gestalten Sie die Zukunft der Speichertechnologie aktiv mit.
Warum FMC?
- Modernste Speichertechnologie
- Starke Präsenz im Dresdner Halbleiter-Ökosystem
- Hohe Eigenverantwortung und wirkungsorientierte Positionen
- Internationales und kooperatives Team
- Direkter Beitrag zu KI und Computing der nächsten Generation