ML Software Engineer for HL-LHC Track Reconstruction

Big Science Sweden; Genf; On-site; CHF 64,332 - 82,712; Full time

Job summary

Big Science Sweden is seeking a candidate to join the CERN ATLAS team, focusing on machine learning techniques for track reconstruction within the ATLAS Trigger and Data Acquisition system. The role involves exploring approaches for deployment in the high-luminosity conditions expected during Phase-II operations.

Applicants should have a Master’s degree with relevant experience, or a PhD. This role will offer opportunities to work with a heterogeneous architecture of CPUs and GPUs to innovate in track reconstruction methods.

Qualifications

• Master’s degree with 2 to 6 years of experience, or PhD with up to 3 years of experience.
• Experience in machine learning for object reconstruction is preferred.

Responsibilities

• Contribute to research on ML techniques for track reconstruction.
• Explore promising approaches for deployment in the ATLAS EF tracking.

Skills

Machine learning techniques

Track reconstruction

Asynchronous processing

Algorithms

Education

Master's degree

PhD

Job description

Big Science Sweden is seeking a candidate to join the CERN ATLAS team, focusing on machine learning techniques for track reconstruction within the ATLAS Trigger and Data Acquisition system. The role involves exploring approaches for deployment in the high-luminosity conditions expected during Phase-II operations.

Applicants should have a Master’s degree with relevant experience, or a PhD. This role will offer opportunities to work with a heterogeneous architecture of CPUs and GPUs to innovate in track reconstruction methods.