ppWorkflows Engineer for AI processes (RE2) /ph3Employer /h3pBarcelona Supercomputing Center /ph3Location /h3pSpain /ph3Sector /h3pOther /ppAtmospheric Sciences (AS)br/Climate: Past, Present Future (CL)br/Earth and Space Science Informatics (ESSI)br/ /ph3Type /h3pFull time /ph3Level /h3pExperienced /ph3Open /h3p30 September 2026 /ph3Preferred education /h3pOther /ph3Posted /h3p29 July 2026 /ph3Context And Mission /h3pWithin 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.br/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.br/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.br/Learn more on our website: /pulliDevelop, maintain, and deploy workflow solutions for AI-driven scientific applications.



/liliContribute to the development of reproducible and traceable computational workflows following FAIR principles and research software engineering best practices. /liliCollaborate with AI researchers, climate scientists, and software engineers to integrate new AI models into operational workflows. /liliContribute to software testing, continuous integration, documentation, and dissemination of developed technologies. /liliParticipate in European collaborative research projects and interact with international partners. /li /ulh3Requirements /h3ulliEducationulliBSc in Computer Science, Computational Science, Data Science, Artificial Intelligence, Software Engineering, or a related discipline. /liliHaving a Master’s degree will be valued. /li /ul /liliEssential Knowledge and Professional ExperienceulliExperience in scientific software development using Python. /liliExperience deploying and developing workflow solutions for scientific or AI applications. /liliExperience with workflow management systems (e.g. Autosubmit, Airflow, or similar). /liliExperience with AI model lifecycles /liliExperience working with Linux environments and HPC systems. /liliExperience using version control systems (Git) and collaborative software development practices.



/liliExperience with container technologies such as Docker or Singularity. /liliKnowledge of software engineering best practices, including testing, documentation, and continuous integration. /li /ul /liliAdditional Knowledge and Professional ExperienceulliTroubleshooting and debugging skills. /liliGood written and spoken English. /liliUnderstanding of HPC computer architecture issues, including CPU, accelerators, memory, interconnect, parallel I/O, and computational performance in general. /liliKnowledge of HPC job schedulers (Slurm, PBS or similar). /liliKnowledge of climate or Earth system modelling workflows. /liliExperience participating in European or international research projects. /liliContributions to open-source software projects. /li /ul /liliCompetencesulliEarth 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 to address new challenges and perfect the current solutions so they gain reliability and efficiency. /liliThis is a specialized position so the successful candidate is expected to have a demonstrated learning capacity and the motivation to maintain a learning progression during the contract. /liliThe candidate will work within international collaborative projects, so it is mandatory to be able to fulfill schedules and coordinate with members from other institutions, as well as disseminate the advances in international workshops. /li /ul /li /ul /p #J-18808-Ljbffr

📌 Workflows Engineer for AI processes (España)
🏢 European Geosciences Union
📍 España