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Barcelona Supercomputing Center

AI - Compilers engineer (RE1)

Barcelona Supercomputing Center
Spain · Full-time · Not Applicable

Job Reference

252_26_CS_PPC_RE1

Position

AI - Compilers engineer (RE1)

Closing Date

Tuesday, 02 June, 2026

Reference: 252_26_CS_PPC_RE1

Job title: AI - Compilers engineer (RE1)

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 Predictable Parallel Computing (PPC) group is a research team focused on programming models, compiler technologies, runtime systems, and performance optimization across the compute continuum, spanning cloud, edge, embedded, and high-performance computing platforms. The group has extensive expertise in heterogeneous and parallel systems, with strong involvement in European research projects and collaborations with industry and hardware vendors.

This position focuses on AI-driven compilation workflows for centralized heterogeneous systems integrating CPUs, GPUs, FPGAs, and emerging accelerators. The objective is to develop intelligent optimization techniques that automatically adapt applications to complex hardware architectures, thereby improving performance, energy efficiency, portability, and programmability.

The Selected Candidate Will Work On Topics Including

  • Machine learning applied to compiler optimization.
  • Automatic code transformation and autotuning.
  • Heterogeneous execution and scheduling strategies.
  • LLVM-based compilation frameworks, including MLIR.
  • Performance modeling and hardware-aware optimization.

The role offers the opportunity to work on cutting-edge research at the intersection of AI systems, compilers, and heterogeneous computing, in an international, multidisciplinary environment that addresses next-generation embedded and high-performance computing challenges.

Key Duties

  • Design and develop AI-assisted compilation and optimization workflows for heterogeneous systems combining CPUs, GPUs, FPGAs, and other accelerators.
  • Research and implement machine learning techniques for automatic code optimization, autotuning, and performance prediction.
  • Develop optimization strategies on the LLVM infrastructure
  • Analyze application performance, energy efficiency, and resource utilization across different hardware platforms.
  • Contribute to research projects, technical reports, and scientific publications.
  • Set up and maintain CI/CD pipelines to validate software developments.

Requirements

  • Education
    • Master’s degree in Computer Science, Artificial Intelligence, Computer Engineering, or a related field.
  • Essential Knowledge and Professional Experience
    • Knowledge of LLVM, MLIR, and Clang codebases
    • Knowledge of machine learning techniques applied to systems optimization, autotuning, or performance modeling.
    • Proficiency in C/C++ and Python programming
    • Knowledge of heterogeneous computing architectures, including CPUs and GPUs
  • Additional Knowledge and Professional Experience
    • Fluent English, both written and spoken
  • Competences
    • Strong initiative, organizational skills, and the ability to prioritize tasks under deadlines and pressure.
    • Ability to work effectively both independently and as part of a team.
Conditions

  • The position will be located at BSC within the Computer Sciences 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

Application Form

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Key Skills

Ranked by relevance

ai machine learning embedded the ability to prioritize artificial intelligence parallel computing python cloud cicd
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Posted
May 23, 2026
Type
Full-time
Level
Not Applicable
Location
Barcelona

Industries

Research Services

Categories

Engineering Information Technology

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