Software coordinator

408_25_ES_CES_RE3

Software coordinator (RE3) – AI Factory (Earth Sciences Department)

Friday, 13 February, 2026

Reference: 408_25_ES_CES_RE3

Job title: Software coordinator (RE3) – AI Factory (Earth Sciences Department)

About BSC

The 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 1000 staff from 60 countries.

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We 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 Mission

The Barcelona Supercomputing Center (BSC) is seeking a machine learning coordinator to join the Earth Sciences department within the framework of the AI Factory initiative.

The AI Factory is a major European project aimed at accelerating the adoption and development of artificial intelligence across industry sectors that is deploying a comprehensive set of AI-focused services, including robust training, networking, and innovation support structures. Its mission is to foster the uptake and effective use of AI, particularly among SMEs and startups across participating countries, and to strengthen the European innovation ecosystem. These services are powered by the AI-specific partition of the MareNostrum5 supercomputer, one of the most advanced infrastructures in Europe, designed to meet the evolving AI needs by harnessing the latest AI-oriented computing technologies.

As the AI Factory coordinator in the Earth Sciences department, the selected candidate will oversee the implementation and strategic alignment of AI services related to climate science. This includes supervising use cases, managing collaborations, and ensuring seamless integration of software tools and workflows within the MN5 AI partition. The Coordinator will serve as the main liaison between scientific teams, technical experts, and AI Factory partners, ensuring that AI services meet user needs while remaining aligned with broader project goals.

Key Duties

• Act as the main point of contact for internal and external users, including researchers, software developers, project partners, and external collaborators such as public organisations, SMEs, and start-ups.
• Lead the documentation and the software used in the AI factory in collaboration with the AI factory technical coordinator.
• Supervise the integration and availability of AI software tools, frameworks, and data on the MN5 AI partition.
• Collaborate with the BSC AI Factory coordinator and contribute to project reporting, dissemination, training, and strategic planning activities.
• Collaborate with BSC technical teams and external partners to ensure operational support and performance of AI workloads.
• Lead and coordinate the AI Factory activities related to use and test cases within the Earth Sciences department.
• Identify opportunities for new collaborations and support the growth of the AI Factory user base in climate science.

Requirements

• Education
• Master's or PhD in computer science, data science, climate science, or a related field.
• Essential Knowledge and Professional Experience
• Experience coordinating complex, multidisciplinary projects, ideally in a scientific or technical environment.
• Familiarity with AI/ML workflows, tools, and infrastructure (e.g., HPC systems, AI Libraries, MLOps practices).
• Additional Knowledge and Professional Experience
• Knowledge of climate science and an atmospheric or ocean modelling background will be valued.
• Experience with Earth System Models and knowledge of their data formats will be valued.
• Experience in managing a large technical project and knowledge of project management and software cycles, including Agile and Scrum methodologies, is recommended.
• Competences
• Excellent organizational and communication skills.
• Ability to work collaboratively across teams and institutions in an international context.
• Ability to take initiative, prioritize, and work under set deadlines.
• Fluency in spoken and written English.

Conditions

• The position will be located at BSC within the Directors Department
• We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: 3 years
• Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: asap

Applications procedure and process

All applications must be submitted via the BSC website and contain:

• A full CV in English including contact details
• A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.

Development of the recruitment process

The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:

• Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
• Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.

In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.

The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.

At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.

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Deadline

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

OTM-R principles for selection processes

BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.

BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.

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