Performance Prediction Developer

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AI Summary

Develop a framework for performance prediction, evaluate and test the framework, and document and disseminate developments and findings. Work on performance metrics, hardware counters, and neural networks. Collaborate with companies and participate in competitive projects.

Key Highlights
Develop a framework for performance prediction
Evaluate and test the framework
Document and disseminate developments and findings
Collaborate with companies and participate in competitive projects
Technical Skills Required
Python Paraver Extrae Score-P Scalasca vtune Neural networks
Benefits & Perks
Competitive salary
Flexible working hours
Extensive training plan
Restaurant tickets
Private health insurance
Support to relocation procedures

Job Description


Job Title

Performance prediction developer (RE1)

Job Reference

707_25_CS_BPPP_RE1

Closing Date

Wednesday, 03 December, ****

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 **** staff from 60 countries.

Context and Mission

The BePPP group is seeking a candidate to work on development of tools to measure and predict performance of parallel applications.

In particular development of a framework that will extract information on the performance of applications from Paraver traces.

We are looking for people with expertise on performance metrics, hardware counters and neural networks.

The work will be done in the context of different competitive projects and collaborations with companies.

Key Duties

Develop a framework for performance prediction

Evaluate and test the framework

Document and disseminate developments and findings

Requirements

Education

BSc or MSc in Computer Sciences, Computer Engineering, Telecommunication Engineering or equivalent

Essential Knowledge And Professional Experience

Experience using performance analysis tools (Extrae, Paraver, Score-P, Scalasca, vtune)

An intimate understanding of distributed-memory and shared-memory parallelism

A thorough understanding of high performance computing architectures.

An intimate knowledge of neural networks

Additional Knowledge And Professional Experience

Knowledge about version-control software (preferably Git) will be valued

Experience in Python programming will be valued

Experience supporting and collaborating with external partners.

Competences

Fluency in spoken and written English (Spanish valued)

Good communication and presentation skills

Ability to learn and adapt to multiple programming languages easily

Ability to work independently and in a team

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: ASAP

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.

Recruitment Process

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 ******.

For more information, please follow this link.

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.

Equal Opportunity

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.

Job Availability

The vacancy will remain open until a suitable candidate has been hired.

Applications will be regularly reviewed and potential candidates will be contacted.

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