AI Factory Engineer

Job Reference

15_25_DIR_IBD_AIFE

Position

AI Factory Engineer

Closing Date

Saturday, 31 January, 2026

Reference: 15_25_DIR_IBD_AIFE

Job title: AI Factory Engineer

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 BSC AI Factory Engineer is responsible for developing, adapting, and deploying AI solutions within the BSC AI Factory, leveraging advanced AI techniques and high-performance computing infrastructures such as MareNostrum-5. The role focuses on building scalable, reproducible, and production-ready AI pipelines, models, and architectures to support services delivered to industry, startups, and public institutions.

Working closely with researchers, service project managers, and external users, the AI Factory Engineer contributes to data preparation, model training and fine-tuning, RAG architectures, benchmarking, and optimization, ensuring efficient use of AI Factory resources. The role combines strong technical expertise with a service-oriented mindset, supporting the continuous evolution and operational excellence of the BSC AI Factory.

This project is funded by the European Union’s Recovery and Resilience Facility, in accordance with Council Regulation (EU) 2020/2094 of 14 December 2020, and regulated by Regulation (EU) 2021/241 of the European Parliament and of the Council of 12 February 2021, in the context of the “BSC AI Factory” project.

The BSC AI Factory project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101234399. The JU receives support from the European Union’s Horizon Europe Programme and Spain, Portugal, and Türkiye.

For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/bsc-ai-factory

Key Duties

• Design, develop, fine-tune, and deploy AI models and end-to-end pipelines as part of AI Factory service delivery, ensuring scalability, reproducibility, and production readiness.
• Implement and optimize AI workloads on AI Factory computing environments (e.g. Playground, Fast Lane, Large Scale), making efficient use of MN5 and related infrastructures.
• Prepare, process, and validate data for AI services, including feature engineering, dataset curation, and support for domain-specific use cases.
• Design and implement advanced AI solutions such as RAG architectures, model adaptation strategies, benchmarking setups, and performance optimization workflows.
• Provide hands-on technical support and expert advisory to AI Factory users, translating service requests into concrete technical outputs.
• Collaborate with service project managers, researchers, and domain teams to deliver agreed technical outputs within defined service scopes and timelines.
• Apply security, ethical, and governance guidelines across all technical deliverables produced within the AI Factory.
• Document technical solutions, workflows, and best practices to support service standardization, reuse, and continuous improvement.
  
  

Requirements

• Education
• Degree in a technical or scientific field such as Computer Science, Engineering, Data Science, Mathematics, Physics, or equivalent practical experience.
• Advanced academic degrees (Master’s or PhD) in AI, machine learning, or related areas are a plus but not mandatory.
• Essential Knowledge and Professional Experience
• Proven experience in developing, training, and deploying AI models and pipelines in applied or production-like environments.
• Hands-on experience with modern AI frameworks and large-scale or high-performance computing infrastructures.
• Experience working in multidisciplinary teams and delivering technical outputs within service-oriented or industrial contexts.
• Additional Knowledge and Professional Experience
• Exposure to cloud or hybrid computing environments and MLOps practices.
• Experience supporting users or clients through technical advisory, training, or service delivery activities.
• Familiarity with data governance, security, ethical AI, or compliance frameworks in applied AI projects.
• Competences
• Strong analytical and problem-solving skills applied to complex AI and data challenges.
• Ability to work autonomously while collaborating effectively within multidisciplinary teams.
• Service-oriented mindset with a focus on delivering reliable and high-quality technical outputs.
• Clear communication skills to explain technical concepts to both technical and non-technical stakeholders.
• Attention to quality, reproducibility, and documentation of technical work.
• Capacity to manage priorities and deliver results within agreed timelines.
  

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: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 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: 01/02/2026
  
  

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@bsc.es.

For more information, please follow this link.

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.

For more information follow this link

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