Senior Software Engineer – Fabrication Data Mining

Your missionThe 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 & ResponsibilitiesDrive the further development of Q.ANT’s in-house fabrication database into a robust, production-ready platformDesign, build, and maintain an intuitive graphical user interface (GUI) tailored to user needs across multiple teamsDevelop data mining and analysis tools to identify correlations between fabrication process parameters and physical device behaviorEnable automated traceability of process steps, results, and deviations across the full manufacturing value chainAct as the primary interface for database-related topics, troubleshooting, and continuous improvementCollaborate closely with cross-functional stakeholders (manufacturing, physics, engineering, and data teams)Translate complex technical concepts into clear, understandable insights for non-expert usersWhat makes this role uniqueHigh 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 profileEducation & ExperienceMaster’s degree in Data Science, Computer Science, Engineering, or a related fieldBackground or strong interest in physics, semiconductor manufacturing, or photonics is a strong advantageProven experience in building, managing, and scaling databases and data platformsHands-on experience in data mining, data analysis, or applied data scienceExperience working with interdisciplinary teams and managing diverse technical requirementsTechnical SkillsStrong programming skills in PythonSolid experience with SQL and database designExperience with user management and access control systemsExperience developing user-facing tools or GUIs is highly desirableExperience 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 explorationWays of WorkingVery high level of self-leadership and ownershipStrong solution-oriented mindset with the ability to prioritize and structure complex topicsExcellent communication and collaboration skills across technical and non-technical audiencesHigh curiosity, intrinsic motivation, and willingness to explore cross-correlations in complex data setsLanguagesFluent in English (written and spoken)German or another European language is a plusWhy us?Work on the leading edge: Photonic AI acceleration technologies that will define the next decade of computing - already validated in production HPC environmentsMake impact at scale: Help solve one of computing's biggest challenges—making growing demand in compute and sustainability go hand in handOwn your work from day one: Broad autonomy and decision authority with direct impact on product success and the future of AI infrastructureFast-track your growth: Work on challenges with few industry precedents—every problem you solve becomes new institutional knowledge and potentially industry-defining IPWorld-class team: Collaborate alongside a passionate, international, cross-functional team of experts in photonics, processor design, and AI systemsDirect 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-solvingBe part of history: Join at the inflection point where photonic computing transitions from research to mainstream—your contributions will shape this transformationAbout usWho we are and what we doQ.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.