Research engineer with expertise in ML/AI (RE2)

Job Reference

328_26_CASE_DT_RE2

Position

Research engineer with expertise in ML/AI (RE2)

Closing Date

Tuesday, 21 July, 2026

Reference: 328_26_CASE_DT_RE2

Job title: Research engineer with expertise in ML/AI (RE2)

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 is hiring a research engineer with strong expertise on ML/AI-based architectures, focusing on those that target production-grade solutions on Cloud-Edge Continuum. The work will be integrated into a BSC strategical project related to Dual-Use technologies development.

Key Duties

• Contributing to the design and development of complex architectural solutions capable of handling Reinforcement Learning (RL) problems across distributed, HPC, cloud, and embedded environments.
• Contributing to the definition and implementation of standards for enabling the interoperabil-ity between AI systems and Digital Twins through common interfaces and APIs.
• Producing high-quality, scalable and interoperable solutions within federated and secure envi-ronments.
• Compliance of project deliverables according to the established working plan.
• Achievement of significant and measurable results.
  
  

Requirements

• Education
• Bachelor of Sciences (Software engineering speciality).
• Master’s degrees in AI/ML, big data, data analytics or computer science will be highly appreciated.
• Essential Knowledge and Professional Experience
• Between 2 - 4 years of minimum experience in similar positions.
• Expertise on AI for NLP processes, including Prompt Engineering, Large Language Models (LLMs) and Vision-Language Models (VLMs).
• Expertise in developing and training ML algorithms for supervised and unsupervised learning problems, using state-of-the-art architectures and techniques such as encoders/decoders, attention mechanisms, and transformer-based models.
• Deep knowledge of the core full-stack software stack for AI solutions, including cloud-native infrastructure (e.g., Docker, K8S, Kafka, Grafana), ML libraries (e.g., PyTorch, TensorFlow) and API development frameworks (e.g., FastAPI, Flask).
• Additional Knowledge and Professional Experience
• Hands-on experience in building AI-based solutions involving multimodal models, agentic workflows, Retrieval Augmented Generation (RAG) and the integration of LLM/VLM compo-nents into end-to-end software systems.
• Knowledge of how to integrate ML/AI modules into service-oriented, event-driven and data-driven architectures, including APIs, workflow orchestration and interoperability between heterogeneous software components.
• Knowledge of scalable and distributed AI approaches, including HPC applications, parallel pro-gramming models and Federated Learning (FL).
• Knowledge of DevOps and MLOps practices, especially CI/CD pipelines with model validation, verification and deployment processes.
• Programming skills in Python, C/C++, bash.
• Good level in English
• Competences
• High interest in learning new skills and co-work with industrial and academic partners to solve challenging problems.
• Capacity to take ownership of complex problems and drive solutions forward autonomously, with minimal supervision.
• Good problem abstraction for designing solutions from scratch and, in general, a strong capacity for software design.
• Team player and goal-oriented.
• Strong analytical background and critical thinking.
• Excellent communication and collaboration skills within national and international multi-organizational environments.
  

Conditions

• The position will be located at BSC within the CASE Department
• We offer a full-time contract (35h/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: 01/09/2026
  
  

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 [email protected].

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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