The Radiology and Nuclear Medicine Department of the Radboud University Medical Center, Nijmegen, The Netherlands, is seeking a research software engineer (Infrastructure) to join our RSE team. This is a great opportunity to work closely with researchers to reliably deliver new functionality to the clinic.
As research software engineer - Infrastructure you will be responsible for the installation, configuration, maintenance and development of our computing infrastructure. Our internal cluster consists of 46 nodes, 864 CPU Cores, 90 Nvidia GPUs and 400 TB of storage. This system is built upon Debian and Arch Linux, uses Ansible for configuration management and deployment, and Slurm for scheduling container workloads. On this system, data scientists develop machine learning models that are then deployed to our external website (
https://grand-challenge.org) for use by clinicians worldwide. This is an open source django 2.1 app (Python 3, Postgres, Celery, Redis, Docker) that runs on an external cluster.
You will initially focus on the maintenance and development of our deployment tooling. You would need to be comfortable with communicating with end users by supporting them in using the cluster, gathering requirements, adding new features and managing the expansion of both clusters. You will be expected to work both independently and as part of the research software engineering team. Although this is not a data science role, it would be beneficial if you have an understanding of data science processes and an interest in medical imaging.