Workflows Engineer For Ai Processes

Job Reference382_26_ES_EMW_RE2PositionWorkflows Engineer for AI processes (RE2)Closing DateWednesday, 30 September, **Reference382_26_ES_EMW_RE2Job titleWorkflows Engineer for AI processes (RE2)About BSCThe Barcelona Supercomputing Center
- Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain.
It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large?scale investments and HPC provision in Europe.
The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.
BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over *
* staff from 60 countries.
Look At The BSC ExperienceBSC-CNS YouTube ChannelLet us stay connected with BSC FolksWe are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research.
In instances of equal merit, the incorporation of the under?represented sex will be favoured.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer.
We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And MissionWithin the Computational Earth Sciences group, the Models and Workflows (MWT) team studies and develops essential frameworks and tools for efficiently running modeling experiments on HPC infrastructures.
MWT is a growing team of approximately 30 members, closely collaborating with the Performance, Data, and AI teams, as well as the other scientific groups within the Department.
The successful candidate will contribute to the deployment and development of state?of?the?art external and in?house workflow solutions supporting the complete lifecycle of AI?based scientific workflows, from data preparation and model training to validation, deployment, and reproducible execution.
The work will be carried out within European research projects developing next?generation AI?enabled digital twins for climate applications, integrating HPC systems, AI infrastructures, and large?scale data services.
The position offers the opportunity to collaborate with leading European research institutions in the areas of AI, climate science, workflow technologies, and research software engineering.
Learn More On Our WebsiteKey DutiesDevelop, maintain, and deploy workflow solutions for AI-driven scientific applications.
Contribute to the development of reproducible and traceable computational workflows following FAIR principles and research software engineering best practices.
Collaborate with AI researchers, climate scientists, and software engineers to integrate new AI models into operational workflows.
Contribute to software testing, continuous integration, documentation, and dissemination of developed technologies.
Participate in European collaborative research projects and interact with international partners.
RequirementsEducationBSc in Computer Science, Computational Science, Data Science, Artificial Intelligence, Software Engineering, or a related discipline.
Having a Master's degree will be valued.
Essential Knowledge And Professional ExperienceExperience in scientific software development using Python.
Experience deploying and developing workflow solutions for scientific or AI applications.
Experience with workflow management systems (e.
G. Autosubmit, Airflow, or similar).
Experience with AI model lifecyclesExperience working with Linux environments and HPC systems.
Experience using version control systems (Git) and collaborative software development practices.
Experience with container technologies such as Docker or Singularity.
Knowledge of software engineering best practices, including testing, documentation, and continuous integration.
Additional Knowledge And Professional ExperienceTroubleshooting and debugging skills.
Good written and spoken English.
Understanding of HPC computer architecture issues, including CPU, accelerators, memory, interconnect, parallel I/O, and computational performance in general.
Knowledge of HPC job schedulers (Slurm, PBS or similar).
Knowledge of climate or Earth system modelling workflows.
Experience participating in European or international research projects.
Contributions to open?source software projects.
CompetencesEarth system models are sophisticated tools and High?Performance Computers are complex systems.
The candidate needs to have excellent problem?solving skills and a proactive attitude