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Delft University of Technology (TU Delft) is seeking a Research Infrastructure Engineer to maintain and extend specialised lab infrastructure in support of AI and computer science research. The role sits within the REIT team in EEMCS and collaborates with INSY and central ICT services.
You will manage Linux servers, security, backups, and project-specific AI infrastructure, while coordinating with researchers and technicians to ensure robust, available systems for demonstrations and teaching
Support cutting-edge AI and computer science research at TU Delft by building, maintaining, and improving the specialised infrastructure researchers rely on every day. In this hands-on role, you will work at the intersection of research labs management, high-performance computing, and emerging AI technologies, helping researchers and students turn ambitious ideas into reality.
As a Research Infrastructure Engineer, you will join the Research Engineering and Infrastructure Team (REIT) within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). REIT supports researchers and students with expertise in software engineering, data science, high-performance computing, and research infrastructure.
You will work closely with the Intelligent Systems (INSY) department and collaborate with researchers, research engineers, HPC specialists, data engineers, and central ICT services.
A key part of your role is ensuring the reliability and availability of specialised research infrastructure that falls outside the scope of central ICT services. You will manage Linux-based servers, maintain access and security, perform troubleshooting, recover data when needed, and provide rapid support during demonstrations, teaching activities, and examinations.
You will also support, maintain and manage research facilities such as InsyghtLab. This includes managing hardware and software environments, supporting audio-visual and sensing equipment, ensuring compliance with health, safety, and environmental regulations, and advising researchers on hardware procurement and infrastructure solutions. In addition, you will deploy and manage project-specific servers, cloud virtual machines, and AI-related infrastructure to support the growing demand for advanced computing in research and education.
As a trusted technical partner, you will act as a liaison between researchers and central ICT services. You will coordinate infrastructure requests, maintain technical documentation, manage inventories of hardware and software assets, and contribute to the continuous improvement of research support services across the faculty.
This position offers the opportunity to work on a diverse range of technologies, from Linux systems administration and networking to GPU infrastructure, research computing, and AI platforms. You will have ample opportunities to develop your expertise while contributing directly to internationally recognised research and education.
Working at TU Delft means contributing to solutions that really make a difference.
At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means joining an international community of professionals and students.
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines that reinforce each other and drive the technology we use in daily life. The faculty works on areas including sustainable electricity systems, future chips and sensors, software technologies including AI, and applied mathematics. It offers strong opportunities for ground-breaking research, innovative engineering education, and excellent labs and facilities in an international environment.
As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel to help prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by candidates and takes place at the final stages of the selection process.