At CERN, the European Organisation 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.
The ATLAS data-acquisition system is a mission-critical quasi-realtime heterogeneous computing infrastructure composed of thousands of servers interconnected by high-performance networks.
The selected candidate will join the Dataflow team, contributing to the evolution and upgrade of the distributed data-conveyance software for the next-generation system.
The Dataflow subsystem is in charge of transferring and aggregating the detector data as well as distributing them to a computer farm. Selected data are then formatted, compressed, and transferred to permanent storage.
The Dataflow infrastructure consists of several in-house software components and off-the-shelf storage hardware.
The High Luminosity LHC upgrade will required the Dataflow system to deal with a 10-fold increase in data rates and throughput. Novel, efficient, and clever software solutions will be required to meet this challenge.
The selected candidate will become part of a skilled team of software experts providing essential software for the ATLAS experiment. He/She will be responsible for developing reliable and efficient multi-threaded distributed C++ software for the ATLAS data-acquisition system.
He/She will contribute to the assessment and selection of novel software and hardware technologies capable of meeting performance requirements. The selected candidate will collaborate with team members to analyze and profile distributed software performance, seeking solutions to achieve the required throughput performance, also using the latest networking technologies and C++ programming techniques. Measurements will be carried out in a dedicated development infrastructure as well as on the large scale production cluster.
Skills and/or knowledge
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