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CERN in Geneva seeks a Software Engineer in Physics Simulation within the IT-CE-PSE group to advance performance software for high-energy physics data simulation. The role focuses on accelerating Monte Carlo workflows and MadGraph using GPUs and modern CPUs, with collaboration across physics and software teams.
Training on data science, languages, and computing architectures is available. Hybrid work, 24–36 month contracts, and comprehensive CERN benefits are included.
We are offering a position in the Physics Software Engineering section of the Computing for Experiments group in the CERN IT department (IT-CE-PSE) on Performance Software Engineering in the realm of high energy physics data simulation.
The work on this post will be carried out in the context of the NextGen project, a collaboration between the LHC experiments and the CERN Research and Computing Departments. NextGen explores the use and impact of high-performance computing architectures in data simulation and data processing for the LHC experiments with a focus on the upcoming High Luminosity (HL-LHC) data taking phase at the CERN Large Hadron Collider.
The simulation of particle collisions is one of the main consumers of computing resources for LHC experiments. Given the expected increase in the required statistics, accuracy and complexity for future simulation, and to stay within the forecasted computing budget, the throughput of simulation software packages needs to increase substantially.
The successful candidate will join a team of software engineers and physicists that addresses this challenge. Together, you will speed up software packages for Monte Carlo (MC) event generation with a focus on the Madgraph event generator suite. Current and future tasks tackled by the team are at the intersection of theoretical/computational physics and computer science. In order to profit from the latest computing hardware, adaptations or re-engineering of software in aspects such as data structures, parallelisation of the workflow or task scheduling are needed. This work is guided by the requirements of experimental analyses and takes into account the latest developments in theoretical predictions.
In case of interest, training on data science, programming languages, software engineering concepts and computing architectures is available and can be provided via various training programs.
Your responsibilities:
Your profile:
Skills:
Eligibility criteria:
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Working hours: 40 hours per week
Job flexibility: Hybrid
This position involves:
Job reference: IT-CE-PSE-2026-167-GRAP
Field of work: Information Technologies
Benchmark job: 200020 - Computing Engineer
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