Engineer F/M: Tracing and energy-aware performance monitoring of HPC/AI workloads

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Within the framework of the European project EU-LAC Supercomputing Network for AI (Team Europe Initiative "EU-LAC Digital Alliance"), coordinated by the Barcelona Supercomputing Center (BSC), in collaboration with INESC TEC (Portugal), FZJ (Germany), CSC (Finland), IZUM (Slovenia) and CINECA (Italy). This project aims at strengthening cooperation between Europe and Latin America and the Caribbean (LAC) in high-performance computing (HPC) and artificial intelligence. Inria leads the work package on joint EU-LAC use cases and, more specifically, Use Case 1: a unified methodology for tracing HPC/AI applications and monitoring their performance and energy consumption. This methodology provides the common basis for the other use cases of the project (e.g. large language models adapted to Latin American language varieties, or earthquake and tsunami simulation) and will be deployed in LAC HPC centres selected through an open call. Occasional travel in Europe and Latin America (project meetings, workshops, visits to partner centres) is expected. The recruited person will be responsible for designing and implementing a methodology and an open-source toolkit to collect, store and process HPC/AI application and system traces, with a particular focus on energy consumption (CPU/GPU power draw, node-level energy counters), I/O behavior and resource utilization. This characterization will rely on