Software Engineer - Software Reliability (TE-MPE-CB-2026-93-GRAP)
Full-time
You will work at the interface between Software and Reliability Engineering, contributing to the technical design of the next generation of particle accelerators, by developing and maintaining Python-based software frameworks for availability modelling, fault data analysis, and reliability-driven design across multiple accelerator subsystems.
In parallel, you will contribute to R&D of software-oriented reliability solutions for large-scale accelerator systems, exploring new modelling approaches, data-driven methods, and verification / validation techniques tailored to complex cyber-physical infrastructures.
Your responsibilities
* Design, implement, and maintain production-quality Python software supporting reliability, availability, and maintainability (RAM) analyses for complex accelerator systems.
* Contribute to availability modelling, fault and downtime data analysis, and reliability-driven design studies across multiple accelerator domains.
* Develop, extend, and refactor modular, well‑documented, and testable software frameworks that support accelerator design and validation workflows.
* Research, prototype, and help formalise software-oriented reliability methods for large‑scale cyber‑physical systems, including data‑driven, simulation‑based, and verification‑oriented approaches.
* Integrate reliability models with operational data sources, simulation pipelines, and system-level workflows to support performance and design trade‑off studies.
* Apply and promote modern software engineering practices, including structured version control workflows, code review, automated testing, and continuous integration.
* Collaborate with accelerator physicists, system engineers, and reliability specialists to translate engineering requirements into robust software solutions.
* Contribute to technical documentation, internal reports, and design reviews, supporting accelerator design, validation, and long-term planning activities.
Your profile
* Demonstrated experience developing scientific or large-scale software systems with a strong focus on code quality, robustness, maintainability, and production readiness.
* Built simulation and analysis pipelines with consideration for assumptions, uncertainties, and reproducibility.
* Conducted applied, software-driven research, including evaluating methods, prototyping solutions, validating models, and translating research into robust production-quality software.
* Derived actionable engineering insights from complex datasets through analysis, modelling, and simulation techniques.
* Contributed to collaborative engineering environments through code reviews, shared development workflows, and clear technical communication.
Skills
* Advanced Python proficiency for scientific and engineering applications, producing clear, modular, reusable, well-tested, and maintainable code.
* Strong software engineering practices, including Git workflows, code reviews, automated testing, CI pipelines, API design, and documentation.
* Experienced in data analysis, modelling, and simulation using scientific Python tools such as NumPy, pandas, and SciPy.
* Skilled in analysing complex, imperfect real-world datasets, including data cleaning, validation, reproducibility, and uncertainty awareness.
* Strong technical communication and writing skills, including documentation, reports, and design contributions.
* Effective collaborator in multidisciplinary teams, while also able to work autonomously.
* Interest in research-driven problem solving, modelling approaches, and long-term scientific projects.
* Exposure to reliability, availability, risk modelling, or related domains is advantageous.
* Spoken and written English, with a commitment to learn French.
* You have a professional background in Computer Science, Software Engineering (or a related field) and have either:
o Master's degree with 2 to 6 years of post-graduation professional experience;
o PhD with no more than 3 years of post-graduation professional experience.
* You have never had a CERN fellow or graduate contract before.
Contract details
* Contract duration: 24 months, with a possible extension up to 36 months maximum.
* Working hours: 40 hours per week
* Job flexibility: Fully Onsite
* Job reference: TE-MPE-CB-2026-93-GRAP
* Field of work: Software Engineering and IT
* Benchmark job: 200020 - Computing Engineer
Benefits
* A monthly stipend between 6372–7004 Swiss Francs per month (tax free) depending on your degree.
* 30 days of paid leave per year plus 2 weeks annual closure.
* Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
* Family, child and infant monthly allowances depending on your individual circumstances.
* A relocation package (installation grant and travel expenses) depending on your individual circumstances.
* Possibility to extend your contract up to 36 months.
* On-the-job and formal training including language classes.
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