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
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.