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
Supercomputers are indispensable tools for solving the most challenging and complex scientific and technological problems through simulations. BSC will host one of the Pre-exascale machines from EuroHPC JU, named MareNostrum5. This supercomputer will have more than 200 PFlops sustained, and it will be one of the most powerful Supercomputer machines in the world, joining at the same time accelerated nodes with GPUS, general purpose nodes with the most modern architecture to maximize the code's performance.
The open job position will be integrated into the Operations department within the High-level support team. The team will work on applications support for the most relevant projects in Europe, including the improvement of the scalability and performance of selected European scientific applications and tools towards Exascale, Data Analytic and Machine learning as well as code refactoring.
Key Duties
- Optimize and adapt scientific application codes to new pre-exascale architectures and systems.
- Improve the performance of existing parallel codes, improving the serial efficiency and the scalability, changing, if necessary, the code or helping the developers with their required modifications.
- Choose and adapt algorithms and/or mathematical library routines to improve applications to specific computer architectures (accelerators, new programming models, etc.).
- Provide consultancy to scientists on new computer architectures and programming models.
- Generate performance analysis and benchmarks for selected applications and report the results to the applications developers.
- Collaborate with other functional groups at European and International level on technical matters related to supporting scientific application work.
- Optimize and port code to GPU architectures using the most effective technical and algorithmic approaches.
Requirements
- Education
- Bachelor in Computer Science or related discipline
- Essential Knowledge and Professional Experience
- At least 2 years of experience in a similar position working with HPC codes.
- Experience porting and optimizing applications on UNIX-based systems experience in Fortran, C, MPI, OpenMP, and parallel methods.
- Experience supporting and collaborating with external partners.
- Good understanding of Linux environment and Shell scripting.
- Experience working with Parallel programming codes (MPI and OpenMP).
- Experience working with different GPU programming models and with GPU performance improvements.
- Experience using performance analysis tools, and parallel debuggers.
- Additional Knowledge and Professional Experience
- Experience in managing big and collaborative projects and experience with git and SVN.
- Understanding of high-performance computing architectures.
- Good level of English
- Competences
- Excellent communication and interpersonal skills to be able to work within a team
- Analytical problem-solving ability.
Conditions
- The position will be located at BSC within the Operations Department
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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
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Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
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Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
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Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
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Starting date: 1/10/2026
Applications procedure and process
All applications must be submitted via the BSC website and contain:
- A full CV in English including contact details
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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
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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.
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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