Senior Software Engineer – Fabrication Data Mining & Analysis Tools (m/f/d)

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.

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

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

Fluent in English (written and spoken)

German or another European language is a plus

Work on the leading edge: Photonic AI acceleration technologies that will define the next decade of computing - already validated in production HPC environments

Make impact at scale: Help solve one of computing's biggest challenges—making growing demand in compute and sustainability go hand in hand

Own your work from day one: Broad autonomy and decision authority with direct impact on product success and the future of AI infrastructure

Fast-track your growth: Work on challenges with few industry precedents—every problem you solve becomes new institutional knowledge and potentially industry-defining IP

World-class team: Collaborate alongside a passionate, international, cross-functional team of experts in photonics, processor design, and AI systems

Direct access to leadership: Work closely with the company's founders, including CEO Dr. Michael Förtsch, and advisory board members who shaped the semiconductor industry (ARM, Intel, Infineon)

Collaborative culture: Innovative work environment that values technical excellence, open communication, and pragmatic problem-solving

Be part of history: Join at the inflection point where photonic computing transitions from research to mainstream—your contributions will shape this transformation