R&D Database & AI Application Engineer

SCREEN SPE Germany Gmbh; Vlaams-Brabant; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

SCREEN SPE Germany GmbH, as part of SCREEN Semiconductor Solutions, seeks an R&D Database & AI Application Engineer. Hybrid work in Europe, combining database development, secure data integration, and AI application deployment for semiconductor processes and equipment.

The role crosses data management, software development and AI, collaborating with international R&D teams to deliver practical, scalable solutions and contribute to publications or patents when possible.

Qualifications

• Candidates have practical experience with at least one database management system (PostgreSQL, MS SQL Server or Azure SQL Database).
• Basic knowledge of ETL concepts, data modelling and DB performance.
• Experience with software architecture is a plus.
• Proficiency in container technologies (Docker or Apptainer).
• Programming/scripting skills in Python, Java, C++, C#, Shell or similar.
• Familiarity with GitHub for collaborative development.
• Solid understanding of ML fundamentals (supervised/unsupervised, classification/regression).
• Interest in AI and data-driven solutions, incl. emerging tech like large language models (LLMs).
• Experience with Python libraries (NumPy, pandas, scikit-learn); PyTorch/TensorFlow is a plus.

Responsibilities

• Design and develop ETL pipelines integrating multimodal data (process, equipment, log).
• Develop secure data integration across SCREEN sites.
• Deploy reliable, scalable ETL solutions on existing platforms.
• Collaborate with R&D to integrate data into simulations, models and AI apps.
• Define software requirements and architectures.
• Transform R&D code into user-friendly internal tools.
• Explore AI technologies for industrial applications.
• Develop, train and validate AI models for process/equipment control.
• Work on classification, regression, fault detection and predictive maintenance.
• Move AI solutions from experimentation to practical use.

Skills

Python

Java

C++

C#

Shell scripting

GitHub

Machine learning fundamentals

AI & data-driven solutions

Education

Bachelor's or Master’s in CS/Engineering

Tools

PostgreSQL

Microsoft SQL Server

Azure SQL Database

Docker

Apptainer

Job description

Location: Preferably Brussels, with the option to work at one of our other SCREEN locations in Europe

SCREEN Semiconductor Solutions Co., Ltd. (SCREEN SPE) has continuously held a leading position in the global market for semiconductor cleaning processes—thanks to a range of core technologies in the fields of etching, photolithography, and image processing that we have developed over many years. We also offer an extensive product lineup from our 300mm flagship model—which delivers outstanding performance and productivity for the cutting‑edge device market—to the Frontier series, which processes substrates of various sizes and shapes up to 200mm for the IoT device market, and we are continuously working to expand our product portfolio.

SCREEN SPE Germany GmbH is the European subsidiary of SCREEN Semiconductor Solutions Co., Ltd., headquartered in Kyoto Japan. As part of our Advanced R&D (ARD) business unit based in Europe, we are looking for talented and versatile database & AI application engineers to join our team. The candidate will work at the intersection of data management, engineering, and implementation and will contribute to next‑generation solutions for controlling semiconductor processes and equipment. This position combines hands‑on database development, secure data integration, the design and deployment of AI applications, and software integration.

R&D Database & AI Application Engineer (m/f/d)

Location: Preferably Brussels, with the option to work at one of our other SCREEN locations in Europe

Working model: Hybrid

SCREEN Semiconductor Solutions Co., Ltd. (SCREEN SPE) has continuously held a leading position in the global market for semiconductor cleaning processes—thanks to a range of core technologies in the fields of etching, photolithography, and image processing that we have developed over many years. We also offer an extensive product lineup from our 300mm flagship model—which delivers outstanding performance and productivity for the cutting‑edge device market—to the Frontier series, which processes substrates of various sizes and shapes up to 200mm for the IoT device market, and we are continuously working to expand our product portfolio.

SCREEN SPE Germany GmbH is the European subsidiary of SCREEN Semiconductor Solutions Co., Ltd., headquartered in Kyoto Japan. As part of our Advanced R&D (ARD) business unit based in Europe, we are looking for talented and versatile database & AI application engineers to join our team. The candidate will work at the intersection of data management, engineering, and implementation and will contribute to next‑generation solutions for controlling semiconductor processes and equipment. This position combines hands‑on database development, secure data integration, the design and deployment of AI applications, and software integration.

Your responsibilities

Database Development & Software Integration

• Design and develop ETL pipelines integrating multimodal data such as process, equipment and log data
• Develop solutions for secure data integration across different SCREEN sites
• Deploy reliable and scalable ETL solutions on existing platforms
• Collaborate with R&D teams to integrate data into simulation, modelling and AI applications
• Support the definition of software requirements and software architectures
• Transform R&D code into user-friendly software tools for internal deployment

AI Application Development

• Explore state‑of‑the‑art AI technologies and identify opportunities for industrial applications
• Develop, train and validate AI models for semiconductor process and equipment control
• Work on applications including classification, regression, fault detection and predictive maintenance
• Bring AI solutions from experimentation into practical applications for internal teams and external customers

Collaboration & Innovation

• Work closely with international and cross‑functional R&D and engineering teams
• Collaborate with external technology partners, academic institutions and industry experts
• Share knowledge and demonstrate the value of data management, AI, modelling and simulation through practical use cases and training
• Contribute new ideas, tools and methods to continuously improve our R&D workflows
• Build knowledge of semiconductor manufacturing processes and SCREEN technologies
• Potentially contribute to publications and patents and present research at international scientific conferences and trade shows

What you bring

• Practical experience with at least one database management system such as PostgreSQL, Microsoft SQL Server or Azure SQL Database
• Basic knowledge of ETL concepts, database modelling and database performance
• Experience or knowledge in software architecture
• Experience with container technologies such as Docker or Apptainer
• Programming and scripting skills, particularly in Python, Java, C++, C#, Shell scripting or comparable technologies
• Familiarity with collaborative development environments such as GitHub
• A good understanding of machine learning fundamentals, including supervised and unsupervised learning, classification and regression
• Interest or initial practical experience in AI and data‑driven solutions, including emerging technologies such as Large Language Models
• Experience with Python libraries such as NumPy, pandas and scikit‑learn; experience with PyTorch or TensorFlow is an advantage
• Interest in developing AI‑enabled applications from experimentation through integration into existing systems

What describes you

You enjoy solving complex technical challenges and approaching problems analytically. You are curious about emerging technologies, comfortable working independently and enjoy collaborating with colleagues from different disciplines and international backgrounds.

Above all, you are motivated to learn, experiment and turn innovative ideas into practical solutions.

Ready to join us?

If you want to combine AI, data engineering and software development with challenging R&D projects in the semiconductor industry, we would be happy to hear from you.