Engineer F/M: Tracing and energy-aware performance monitoring of HPC/AI workloads
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Contract type :
Fixed-term contract
Renewable contract :
Yes
Level of qualifications required :
Graduate degree or equivalent
Fonction :
Temporary scientific engineer
Level of experience :
Up to 3 years
About the research centre or Inria department
The Inria center at the University of Bordeaux is one of the nine Inria centers in France and has about twenty research teams.. The Inria centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative SMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute...
Context
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.
Assignment
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.
For more information on the proposed research subject:
Examples of similar work conducted in the same research team:
- https://hal.inria.fr/hal-03753813
- https://hal.inria.fr/hal-03808833/
- F. Boito, L. Teylo, M. Popov, L. Aimi, A. Bandet, et al. TOTO: Transparent I/O Tuning for HPC Applications. ICS 2026, Belfast, United Kingdom. https://hal.science/hal-05662894
- F. Boito, L. Teylo, M. Popov, T. Jolivel, F. Tessier, et al. A Deep Look Into the Temporal I/O Behavior of HPC Applications. IPDPS 2025, Milan, Italy. https://hal.science/hal-04887809
- IOPS (Integrated Orchestration for Parametric Studies), a benchmark orchestration framework developed in the team: https://gitlab.inria.fr/lgouveia/iops
Main activities
Main activities:
• 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).
Skills
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.
Benefits package
• 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
Remuneration
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)
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General Information
• Theme/Domain :
Distributed and High Performance Computing
System & Networks
(BAP E)
• Town/city :
Talence
• Inria Center :
Centre Inria de l'université de Bordeaux
• Starting date :
2027-02-01
• Duration of contract :
12 months
• Deadline to apply :
2026-11-30
Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed.
Instruction to apply
If you are interested by this job, please could you apply on website jobs.inria with the following documents :
• cv
• cover letter
Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.
Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.
Contacts
• Inria Team :
TADAAM
• Recruiter :
Gouveia Lima Luan Teylo
/
luan.teylo@inria.fr
The keys to success
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.
About Inria
Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.
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