Real-Time Software Engineer – AI for Accelerator Systems

CERN; Genf; Hybrid; CHF 120.000 - 180.000; Vollzeit

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

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