Job offer

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 existing tools wherever possible, such as profiling tools (Darshan, Tau), tracing tools (Recorder), energy measurement interfaces (RAPL, NVML) and the IOPS experiment orchestration framework developed in the team, complemented by the components needed for portable deployment across European and Latin American HPC infrastructures.

In addition to that, the person will be responsible for instrumenting the executions of the other use cases of the project and providing them with performance and energy dashboards (time-to-solution, resource utilization, I/O pressure, carbon footprint). They will work with the leads of the other use cases (BSC, CINECA) and with the system administrators of the participating HPC centres, in particular the Latin American centres selected through the open call, whom they will support in adopting the methodology.

Finally, the expected results are the toolkit and dashboards, a methodology guide (including GDPR-aligned data anonymization and governance), and a public repository of anonymized traces., * Studying the state of the art and existing tools for tracing, profiling and energy measurement on HPC systems;

• Development of the pipeline for collecting, storing and processing traces (energy, performance, I/O, resource utilization) and its open-source release;
• Running applications and benchmarks on HPC systems using scripts, treating and plotting results;
• Deployment of performance and energy dashboards for the other use cases of the project;
• Supporting Latin American HPC centres in adopting the methodology.

Additional activities:

• Writing the methodology guide, reports and research papers (LaTeX);
• Curating the public repository of anonymized traces (Zenodo or equivalent).

Technical skills and level required:

• scripting (Bash, Python, etc.);
• Unix: command line, ssh, etc.;
• C/C++;
• a plus (not mandatory): using HPC systems, slurm, etc.;
• a plus (not mandatory): profiling and tracing tools, energy measurement (RAPL, NVML), time-series databases and dashboards (Prometheus, InfluxDB, Grafana);
• experience in research, especially in HPC, would also be a plus.

Languages: fluent English (working language of the project); Spanish or Portuguese would be a plus. Specific Requirements

The ideal candidate:

• Is not afraid of low-level programming and of instrumenting HPC systems and large applications;
• Can learn whatever new skills become necessary for working on the project;
• Has an interest in research, even if not necessarily intending to follow a career in it;
• Is motivated to work in a team with people from different genders and nationalities, in an international context.

Languages FRENCH

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage

The gross monthly salary will be between 2692€ and 3085€ depending on your qualifications and professional experience (before social security contributions and monthly witholding tax) Selection process