Research Engineer - HPC memory systems

Barcelona Supercomputing Center
Barcelona, Spain
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English

Job location

Barcelona, Spain

Tech stack

Artificial Intelligence
C++
Profiling
Dynamic Random-Access Memory
Python
Supercomputing
Data Processing
Information Technology
Programming Languages

Job description

  • Profiling and performance modeling of HPC applications running on high-end servers with advanced memory systems: HBM, DDR4/5, CXL memory expanders.
  • Exploration of Processing in Memory for HPC and AI applications.
  • Prototyping of industrial products and tools.
  • Close interaction and reporting to industrial partners.
  • Benchmarking and performance analysis of high-end hardware products and industrial prototypes., * 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 [at] bsc [dot] es. For more information, please follow this link.

Requirements

  • BSc, MSc or PhD in Computer Science
  • Essential Knowledge and Professional Experience
  • Good knowledge of computer architecture
  • Experience with Unix/Linux environments
  • Experience with profiling tools: Hardware counters, PAPI interface
  • Programming languages (C/C++, Python)
  • Additional Knowledge and Professional Experience
  • Understanding of memory systems and memory technologies (e.g. DRAM, HBM) is a plus
  • Experience with hardware/system simulators is a plus
  • Fluency in English is essential
  • Competences
  • Good written and verbal communication skills
  • Ability to take initiative

Benefits & conditions

  • The position will be located at BSC within the Computer Sciences 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: Feb 2026

About the company

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 Memory Systems group in the Computer Science Department at the Barcelona Supercomputing Center is offering a full-time research engineer position for a project that explores advanced memory systems for AI applications. The performance of AI models is typically limited by the memory wall. In this project, we aim to (re)move this wall by designing memory systems tailored to the requirements of AI models. We will explore systems based on HBM, DDR, GDDR devices, and Compute Express Link (CXL) memory expanders. Additionally, we will consider near-data processing architectures that offload part of the CPU/GPU processing to the memory system. The project is conducted in close collaboration with a major memory manufacturer. Most of the development will take place on high-end hardware products and industrial prototypes. We strongly encourage applications from candidates interested in joining a research team with over a decade of experience in industrial projects with major hardware companies from the US, China, and Korea.

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