Job Descriptionbr/br/pALICE 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. /ppAs 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. /ppIn 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. /ppstrongYour responsibilities /strong /pulliCommission the GPU TPC ML clusterisation as the default clusterisation code for data taking and for simulation. /liliBenchmark and improve the ML-based clusterisation in terms of processing performance and physics quality. /liliInvestigate extending ML usage, including to TPC track seeding. /liliContribute to the Monte Carlo production ecosystem, including workflow scheduling, multi-timeframe processing, multi-threading, and integration of ML/GPU components. /liliDevelop and operate automated solutions for MC production, job orchestration, and validation, including ML-based anomaly detection. /liliTrack the activities in the optimisation and modernisation of simulation and reconstruction frameworks (e.g. Geant, AliceO2), including ML-driven acceleration and GPU-based approaches. /liliInvestigate components and algorithms of the ALICE computing chain (simulation, reconstruction, etc.) that could benefit from machine learning and develop prototypes. /li /ulpstrongYour profile /strong /pulliExperience with high energy physics (HEP) experiments event reconstruction code (e.g. clusterisation or tracking). /liliExperience with GPU programming and ML training and inference. /liliPractical experience with debugging large distributed applications. /li /ulpuSkills /u /pulliStrong knowledge of the C++ programming language on Linux. /liliKnowledge of at least one GPU programming toolkit such as CUDA or HIP. /liliKnowledge of an ML framework such as ONNXRuntime. /liliKnowledge of debugging tools such as GDB and profiling tools such as perf. /liliAbility to work in a team. /liliSpoken and written English, with a commitment to learn French. /li /ulpuEligibility criteria: /u /pulliYou are a national of a a CERN Member or Associate Member State /a. /liliYou have a professional background in Physics (or a related field) and have either:ullia strongMaster's degree with 2 to 6 years /strong of post-graduation professional experience; /lilior a strongPhD with no more than 3 years /strong of post-graduation professional experience. /li /ul /liliYou have never had a CERN fellow or graduate contract before. /li /ulbrAdditional Informationbr/br/pJob closing date: strong at 23:59 CEST. /strong /ppContract duration: 24 months, with a possible extension up to 36 months maximum. /ppWorking hours: 40 hours per week /ppJob flexibility: Fully Onsite /ppTarget start date: 01-August-2026 /ppThis position involves: /pulliParticipation in a regular stand-by duty, including nights, Sundays and official holidays. /liliStand-by duty, when required by the needs of the Organization. /li /ulpJob reference: EP-ALI-SC- -GRAP /ppField of work: Applied Physics /ppBenchmark job: - Applied Physicist /p pstrongGlobal Benefits /strong /pulliA monthly stipend between Swiss Francs per month (tax free) depending on your degree. /lili30 days of paid leave per year plus 2 weeks annual closure. /liliCoverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. /liliFamily, child and infant monthly allowances depending on your individual circumstances. /liliA relocation package (installation grant and travel expenses) depending on your individual circumstances. /liliPossibility to extend your contract up to 36 months. /liliOn-the-job and formal training including language classes. /li /ulpstrongOverview of CERN - Discover a world where the impossible is made possible! /strong /ppAt CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. /ppEvery day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. /ppIf you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! strongTAKE PART! /strong /ppstrongMore information about us, here: /stronga strongcareers.cern /strong /a /p