GPU & ML Developer for Reconstruction and Simulation

Big Science Sweden; Genf; Vor Ort; CHF 100.000 - 130.000; Vollzeit

Zusammenfassung

Big Science Sweden is looking for a GPU & ML Developer for Reconstruction and Simulation to join CERN in Geneva. You will be responsible for developing machine-learning-based GPU event reconstruction code for the ALICE experiment, enhancing reconstruction performance through innovative GPU computing.

As part of your role, you'll optimise workflows within ALICE’s Monte Carlo production ecosystem and simulation frameworks, ensuring automation and validation of ML and GPU code. Candidates with relevant master's or PhD degrees and necessary professional experience are encouraged to apply.

Qualifikationen

• Master's degree with 2 to 6 years of experience or PhD with a maximum of 3 years of experience.
• Experience in machine learning and GPU programming.
• Eligibility based on national citizenship related to CERN.

Aufgaben

• Develop and maintain machine-learning-based GPU event reconstruction code.
• Contribute to Monte Carlo production ecosystem and simulation frameworks.
• Focus on workflow optimisation across ALICE computing chain.

Kenntnisse

Machine learning

GPU programming

Workflow optimisation

Ausbildung

Master's degree

PhD

Jobbeschreibung

GPU & ML Developer for Reconstruction and Simulation

Datum: 1 juli, 2026 Tid: 11:59

Placering: CERN

Mer information

ALICE is pioneering the use of GPUs in Run 3 for the online processing and partly for offline reconstruction. To better leverage available GPU compute resources and improve reconstruction performance, we aim to investigate the use of machine learning.

As a GPU and ML software developer, you will maintain, develop, and commission machine-learning-based GPU event reconstruction code for the ALICE experiment, in particular ML-based and ML-supported clusterisation, and track seeding in the ALICE TPC.

In parallel, you will contribute to ALICE’s Monte Carlo production ecosystem and simulation frameworks, focusing on workflow optimisation. This includes the full MC production infrastructure, simulation frameworks, automation of production, validation and integration of ML and GPU-code, and the development and use of intelligent computing tools across the ALICE computing chain.

Be sure to meet the eligibility criteria

• You are a national of aCERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
• By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation. You are not eligible with only a bachelor’s degree.
• You have never had a CERN fellow or graduate contract before.
• Please pay attention to the additional criteria and requirements for this specific position and mentioned above.