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.
Develop data mining and analysis tools to identify correlations between fabrication process parameters and physical device behavior
Collaborate closely with cross-functional stakeholders (manufacturing, physics, engineering, and data teams)
You will design tailored data mining and analysis approaches for diverse, real-world fabrication use cases.
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
Strong programming skills in Python
Solid experience with SQL and database design
High curiosity, intrinsic motivation, and willingness to explore cross-correlations in complex data sets
Fluent in English (written and spoken)
German or another European language is a plus
Help solve one of computing's biggest challenges—making growing demand in compute and sustainability go hand in hand
Collaborate alongside a passionate, international, cross-functional team of experts in photonics, processor design, and AI systems
Michael Förtsch, and advisory board members who shaped the semiconductor industry (ARM, Intel, Infineon)
Innovative work environment that values technical excellence, open communication, and pragmatic problem-solving
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.