Data Storage R&D Engineer (IT-SD-TAB-2026-130-GRAP)

Your responsibilities will include: Analyse metadata and logs to optimise physical data placement on storage media. Research appropriate mathematical models and propose optimisations to CTA's scheduling algorithms within specified cost constraints. Develop and maintain software in C++/Linux. Participate in operations, troubleshooting and support as part of a team.

At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe!

• You have good technical and analytical skills, with a background in algorithms and optimisation.

• You have knowledge of statistics, data modelling and data visualisation, as well as experience in software development with C++.

• Experience with storage technologies or data management is a bonus.

• Prior experience with tape storage systems and robotic libraries is not expected.

• Strong analytical and problem-solving skills, including mathematical modelling and optimisation are required.

• Experience in software development with C++ and Python is required.

• Experience with Linux operating system and command-line tools (e.g. bash shell, grep with regular expressions) is required.

• Knowledge of databases (SQL) is an advantage (training will be provided if necessary).

• Experience with version control systems (e.g. git) is an advantage (training will be provided if necessary).

• Experience with containers (e.g. Kubernetes) is an advantage (training will be provided if necessary).

• Knowledge of monitoring tools (e.g. Grafana, Prometheus) is an advantage (training will be provided if necessary).

• Spoken and written English, with a commitment to learn French.

• You are a national of a CERN Member or Associate Member State.

• You have a professional background in Mathematics or Computer Science (or a related field) and have either: a Master's degree with 2 to 6 years of post-graduation professional experience; or a PhD with no more than 3 years of post-graduation professional experience.

• You have never had a CERN fellow or graduate contract before.