Software Engineer (SY-BI-SW-2026-175-LD)

CERN

Genf

Hybrid

CHF 120.000 - 180.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Health insurance
Hybrid work
Relocation package
Pension scheme

Zusammenfassung

CERN in Geneva invites applications for a Computing Engineer focused on beam instrumentation software. You will maintain and upgrade real-time systems, apply AI/ML techniques to diagnostics, anomaly detection, and predictive maintenance, and design new software within a hybrid work environment.

The role emphasizes collaboration with experts and students, development of deterministic software in a high-stakes scientific setting, and opportunities to influence accelerator efficiency during Long

Qualifikationen

  • Master's degree or PhD in computer science, applied physics or related field.
  • Demonstrated experience in software engineering with real-time deterministic software.
  • Experience applying AI/ML techniques to engineering or software challenges.
  • Familiarity with large language models and AI-driven software engineering is a plus.

Aufgaben

  • Collaborate with experts and multidisciplinary teams to gather requirements and develop software solutions.
  • Adopt AI-assisted software development tools in collaboration with CERN colleagues.
  • Maintain and improve existing beam instrumentation software systems.
  • Design, develop, test, commission and maintain real-time software systems.
  • Mentor students or early-career talent where appropriate.

Kenntnisse

Real-time software engineering
Python
C++
AI/ML integration
Deterministic software
LLMs / AI-driven software engineering

Ausbildung

Master's Degree or PhD in CS / related field

Tools

Python
C++
Git

Jobbeschreibung

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.

Job Description

You will take responsibility for the maintenance and further development of several key existing beam instrumentation systems. As automation, AI and ML continue to transform scientific computing and software engineering, you will play a major role in the coordination of our group’s efforts as we embark on an ambitious programme to apply these technologies to accelerator instrumentation, data analysis, software development, and system operations.

Functions
  • Collaborate with experts, operators, and multidisciplinary teams to understand needs, gather requirements, and develop effective software solutions.
  • Contribute to the adoption of modern AI-assisted software development tools and practices in collaboration with colleagues across CERN.
  • Maintain, support, and continuously improve existing beam instrumentation software systems.
  • Design, develop, test, commission, and maintain new and upgraded real-time software systems.
  • Contribute to knowledge sharing within the team and, where appropriate, supervise and mentor students or early-career talent.

During Long Shutdown 3, you will contribute to major modernisation activities, including:

  • Enhancing the performance, maintainability, and reliability of beam instrumentation systems through thoughtful redesign, refactoring, comprehensive testing, and safe recommissioning.
  • Designing, developing, deploying, and optimising machine learning solutions for a range of beam instrumentation applications, such as anomaly detection, predictive maintenance, signal classification, and automated diagnostics.
Qualifications
  • Master's Degree or PhD or equivalent relevant experience in the field of computer science, applied physics or a related field.
Experience
  • Demonstrated experience in the field of software engineering with an emphasis on developing deterministic software in a real-time environment.
  • Experience applying AI and machine learning techniques to engineering, scientific, or software development challenges.
  • Familiarity with large language models and AI-driven software engineering, or agent-based systems is considered an advantage
  • Basic knowledge of electronics-based digital acquisition hardware.
Technical competencies
  • Development of software for embedded and real-time systems with/without OS: using Python and C++ ?.
  • Conceptualising, designing and developing new methods of exploiting measurement and diagnostic data with a view to improving accelerator and instrument efficiency.
  • Development and deployment of machine learning and AI-based solutions for data analysis, diagnostics, and system optimisation.
  • Re-engineering, refactoring, integration and porting of existing software.
  • Testing, diagnosing and optimisation of software.
Behavioural competencies
  • Achieving Results: delivering high quality work on time and fulfilling expectations.
  • Working in Teams: working well in groups and readily fitting into a team; participating fully and taking an active role in team activities.
  • Demonstrating Flexibility: readily absorbing new techniques and working practices; proposing new or improved ways of working.Learning and Sharing Knowledge: sharing knowledge and expertise freely and willingly with others; coaching others to ensure knowledge transfer.
Language skills
  • Spoken and written English or French, with a commitment to learn the other language.
Additional Information
Eligibility and closing date

Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States.

This vacancy will be filled as soon as possible, and applications should normally reach us no later than 06.09.2026 at 23:59 CEST.

Employment Conditions
  • Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
  • Working Hours: 40 hours per week
  • Job Flexibility: Hybrid
  • Job grade: 6-7
  • Job reference: SY-BI-SW-2026-175-LD
  • Field of work: Software Engineering and IT
  • Benchmark Job Title: Computing Engineer
Global Benefits
  • A competitive salary (tax free), increasing in line with your years of relevant experience.
  • 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, removal, travel expenses) depending on your individual circumstances.
  • Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure.
Overview of CERN

Discover a world where the impossible is made possible! 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! TAKE PART!

More information about us, here: careers.cern

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