AI Software Research Engineer

• • Participate in the development of modular components for the AI agent's functional modules:
• HMI (LLM-RAG chatbot),
• PERCEPTION (Automatic acquisition of data via a remote subscribed service),
• ACTUATION (abstraction layer to execute simulations, via Digital Twins, Digital Twins' surrogates or other downstream tools, in response to Reasonning and Planning directives and resource-aware invocation logic),
• LEARNING (Continuously update the AI agent's strategy, embedding space, and planning heuristics based on feedback from executed plans).
• Participate in ingestion pipelines implementation, vector store updates, and metadata handling.
• Participate in execution graph construction and result parsing.
• Write unit and integration tests.
• Maintain technical documentation.
• Formulate and evaluate new ideas in a rigorous way.
• Collaborate with scientists and engineers, on a daily basis., 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. For more information, please follow this link.

• BSc or MSc, in Computer Science, Statistical Learning, AI, ML, Data Science, or related fields.
• Academic and project-based programming background.

• Essential Knowledge and Professional Experience

• OO-Programming: Python (required), C++, *nix shell.
• ML/AI: PyTorch, TensorFlow/Keras, NumPy, Scikit-Learn.
• APIs and services: Model Context Protocol (MCP), FastAPI
• Tooling: Git, Docker / Apptainer, Linux, virtual environments.
• Testing (unit / integration / functional / API / performance): Pytest
• Documentation: Sphinx, FastAPI, Swagger...
• At least 1 year of experience in a software engineering / programming role or equivalent

• Additional Knowledge and Professional Experience

• Exposure to HuggingFace, vector databases
• Agile development practices
• Scientific or data-intensive workflows.
• Multilingual environment experience.
• Fluency in English, written and spoken is essential. Spanish / Catalan (or the readiness to learn either one will be valued).

• Competences

• Analytical and problem-solving skills.
• Ability to work independently and in a multidisciplinary team.
• Initiative and prioritization, under constraints.

• The position will be located at BSC within the CASE 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: April 2026

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. Look at the BSC experience: BSC-CNS YouTube Channel Let's stay connected with BSC Folks! 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 Wave Phenomena Group (WPG) of the Department of Computer Applications for Science and Engineering (CASE) leads the core design and implementation of an advanced agentic Artificial Intelligence (AI), as part of a 3-year European project. The core programming effort aims at making learning machines, interfaced with a natural language dialog system and augmented by a knowledge base, capable of reliable reasoning and action planning, leading to the automatic execution of fast simulations in the natural hazards area. This earth science application belongs to the general area of software engineering applied to Machine Learning (ML), asynchronous workflow orchestration, and agentic AI. To advance that initiative we seek several AI Software Engineers and specialists from Junior to Senior, who will team up in the development of algorithms and workflows. As an on-premise, full-time AI software specialist, you will integrate a tight-knit team of 8 people on-site, plus other ML/AI specialists and geoscientists located at European partnering organizations. Together you will tackle the design and fine-tuning of a robust and trustworthy LLM-RAG system, probabilistic and symbolic reasoning, workflow orchestration, and scalable AI infrastructure.