Black Semiconductor GmbH

In this role, you will turn complex characterization data into reliable insights that guide device design, process development, and manufacturing decisions. You will own and improve our analysis software and data infrastructure, and develop methods as experiments evolve. You’ll scale analytics from R&D to high-volume production and ensure traceability of outputs. You will work closely with cross-functional teams to translate measurements into actionable process control improvements. This is a mission-driven role at the intersection of graphene photonics and semiconductor manufacturing, offering meaningful impact at scale.

Leistungen / Benefits

• comprehensive benefits package
• outstanding insurance
• pension
• virtual stock options
• flexible work arrangements

Verantwortungsbereiche

• Own and continuously improve the characterization analysis software suite
• Develop new analysis methods as experiments and measurement capabilities evolve
• Build and maintain reliable, scalable data infrastructure
• Ensure the integrity, accuracy, and traceability of analysis outputs
• Turn raw measurement data into actionable insights for process and design decisions
• Extract device parameters from measured data and benchmark against physical/compact models
• Perform statistical process and yield analyses to identify trends across wafers and lots
• Correlate characterization results with process parameters to close the loop between measurement and process control
• Integrate analysis outputs with fab MES and data systems for real-time feedback
• Define standardized analysis protocols and transition mature R&D code into production-ready tools
• Optimize analysis pipelines for throughput and scalability for high-volume production

Zentrale Anforderungen

• M.S. or Ph.D. in Data Science, Physics, or related technical discipline
• At least two years of relevant industry or research experience
• Strong Python skills and passion for building high-quality software
• Experience designing, developing, and owning a software pipeline end-to-end
• Solid foundation in device physics, including solid-state physics, semiconductor devices, and photonics
• Experience with statistical analysis, model fitting, and parameter extraction
• Experience with data visualization and tracking trends across wafers, lots, or processes
• Ability to work with laboratory or fab instrument interfaces
• collaboration
• problem solving
• attention to detail
• Python
• data visualization
• statistical analysis