4 beste Stellen als production engineer in sindelfingen – aktuell auf Personalsuche

Senior Software Engineer – Fabrication Data Mining & Analysis Tools
Q.ANT GmbH —Stuttgart
- Vollzeit
- Informatik
- Datenanalyse
- Englisch
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Lead Software Engineer - Photonic Ecosystem (f/m/d)
Q.ANT GmbH —Stuttgart
- Vollzeit
- Englisch
- C++
- Erfahrung mit Netzwerken
Direkt bewerben
Senior PIC Characterization Engineer - TFLN / High-Speed (f/m/d)
Q.ANT GmbH —Stuttgart
- Vollzeit
- Doktorat
- Datenanalyse
- Master
Direkt bewerben
Senior Photonics Packaging Engineer RF (f/m/d)
Q.ANT GmbH —Stuttgart
- Vollzeit
- Doktorat
- CAD
- Englisch
Direkt bewerben

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Senior Software Engineer – Fabrication Data Mining & Analysis Tools

Q.ANT GmbH
Stuttgart

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Data-Mining
Ant
Informatik
Datenanalyse
Englisch
Master
Datenbanken
SQL
Datenbankdesign
UI
Datenvisualisierung
Python
Deutsch
Data Science

Vollständige Stellenbeschreibung

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

What makes this role unique

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?

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

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.

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production engineer Jobs in sindelfingen

Senior Software Engineer – Fabrication Data Mining & Analysis Tools

Lead Software Engineer - Photonic Ecosystem (f/m/d)

Senior PIC Characterization Engineer - TFLN / High-Speed (f/m/d)

Senior Photonics Packaging Engineer RF (f/m/d)

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