Senior Software Engineer – Fabrication Data Mining & Analysis Tools

Your mission

The future of AI computing is light, not electrons.
At Q.ANT, we are building photonic processing systems that compute with light—delivering a scalable, energy-efficient alternative to transistor-based architectures for next-generation AI and high-performance computing.

As a Senior Software Engineer – Fabrication Data Mining & Analysis, you will play a key role in transforming complex fabrication data into a living, scalable, and user-friendly data platform. Your work will directly support our photonics Integrated Circuit (PIC) manufacturing teams by enabling deeper insights into process parameters, material behavior, and device performance across the full value chain—from wafer to NPU.

Your Impact & Responsibilities

• Drive the further development of Q.ANT’s in-house fabrication database into a robust, production-ready platform
• Design, build, and maintain an intuitive graphical user interface (GUI) tailored to user needs across multiple teams
• Develop data mining and analysis tools to identify correlations between fabrication process parameters and physical device behavior
• Enable automated traceability of process steps, results, and deviations across the full manufacturing value chain
• Act as the primary interface for database-related topics, troubleshooting, and continuous improvement
• Collaborate closely with cross-functional stakeholders (manufacturing, physics, engineering, and data teams)
• Translate complex technical concepts into clear, understandable insights for non-expert users

• High degree of ownership and freedom: You will independently shape the architecture, workflows, and solutions for our in-house fabrication database and analysis tools.
• Creative problem-solving: You will design tailored data mining and analysis approaches for diverse, real-world fabrication use cases.
• Cross-functional impact: Your solutions will be used by engineers from different disciplines, making your work highly visible and business-critical.
• End-to-end perspective: You will enable traceability of successes and failures across the entire manufacturing process, contributing directly to product quality and scalability.

Your profile

Education & Experience

• Master’s degree in Data Science, Computer Science, Engineering, or a related field
• Background or strong interest in physics, semiconductor manufacturing, or photonics is a strong advantage
• Proven experience in building, managing, and scaling databases and data platforms
• Hands-on experience in data mining, data analysis, or applied data science
• Experience working with interdisciplinary teams and managing diverse technical requirements

Technical Skills

• Strong programming skills in Python
• Solid experience with SQL and database design
• Experience with user management and access control systems
• Experience developing user-facing tools or GUIs is highly desirable
• Experience developing Web-based UI for data visualization and analysis platform as you will be incharge of design and implementation of web interfaces for fabrication data exploration

Ways of Working

• Very high level of self-leadership and ownership
• Strong solution-oriented mindset with the ability to prioritize and structure complex topics
• Excellent communication and collaboration skills across technical and non-technical audiences
• High curiosity, intrinsic motivation, and willingness to explore cross-correlations in complex data sets

Languages

• Fluent in English (written and spoken)
• German or another European language is a plus

Why us?

About us

Who we are and what we do

Q.ANT is a photonic deep-tech scale-up developing photonic processing solutions that compute natively with light and deliver a scalable alternative to transistor-based systems. Its Light Empowered Native Arithmetics (LENA) architecture delivers analog co-processing power optimised for complex computation and enabling energy-efficient performance for next-generation AI and HPC applications. Q.ANT operates its own Thin-Film Lithium Niobate (TFLN) chip pilot line in collaboration with the Institute for Microelectronics Stuttgart, IMS CHIPS, and is currently shipping its Native Processing Servers to selected partners. Q.ANT was founded by Michael Förtsch in 2018 and is headquartered in Stuttgart, Germany.