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Barcelona Supercomputing Center (BSC)
Researcher - HPC memory systems (R2) - AI4S
Barcelona
FULL TIME
September 13, 2024
Job Reference
Position
Closing Date
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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.
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.
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.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan.
For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
- 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 hardware accelerators and performance tools.
- Benchmarking and performance analysis of high-end hardware products and industrial prototypes.
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Education
- MSc or Ph D 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)
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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
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Competences
- Good written and verbal communication skills
- Ability to take initiative
- 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
- Duration: 4 years
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Salary: 45.000,00€
- Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
- Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024
- 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.
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-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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