CERN Organisation Européenne pour la Recherche Nucléaire
Software Engineer (SY-RF-CS-2026-117-LD)
📍 Geneva
Role and responsibilities
Design, develop, and maintain Python-based software applications and tools for the configuration, monitoring, automation, commissioning, and analysis of RF systems across CERN’s accelerator complex. Collaborate with engineers and physicists to understand operational requirements and deliver reliable, user-focused software solutions integrated with real-time control systems and C++ middleware components. Develop automation, testing, and deployment workflows using modern software engineering practices, including CI/CD, containerised environments, and maintainable software architectures. Participate in the deployment, commissioning, operational support, and continuous improvement of software systems used during accelerator operation, including on-call support activities. Contribute to technical documentation, knowledge sharing, and software quality practices within the team and the wider controls software community.
Team / description
At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature.
Qualifications and Skills
Master's degree or equivalent relevant experience in the field of computer science, software engineering, applied physics, electronics engineering or a related field.
Solid Python development skills, ideally including scientific libraries (NumPy, SciPy, Matplotlib) and GUI frameworks (PyQt).
Understanding of C++ sufficient to read and interface with existing control-system code.
Knowledge of software engineering processes: version control (Git), testing, CI/CD and containerisation.
Experience delivering production-quality software in scientific or engineering environments.
Exposure to radiofrequency or accelerator systems is an advantage but not required.