Job Reference: 61_24_OP_US
Position: High-Performance Computing (HPC) Application Performance Engineer
Closing Date: Tuesday, 01 October, 2024
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, and is now the 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 to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof.
We are particularly interested 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.
Context And Mission The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is seeking a talented individual to join our Operations Department as a High-Performance Computing User Support specialist. This position will be integrated into the operations department within the User Support team, working on applications support for projects using BSC resources, including performance optimization support, code porting, and improvement of selected European scientific applications and tools towards Exascale and GPU computing optimization.
BSC now hosts one of the largest supercomputers in Europe, MareNostrum 5, which delivers a sustained performance of over 205 PFlops. The HPC support team plays a direct role in optimizing the usage of this powerful system.
Key Duties Optimize and adapt scientific application codes to new pre-exascale architectures. Improve the performance of existing parallel codes, enhancing serial efficiency and scalability. Generate performance analysis and benchmarks for selected applications and report results to application developers. Collaborate with other functional groups at the European and International levels on technical matters. Assist HPC users in running their codes efficiently and support research teams in adapting their codes to new machines. Requirements Education:
Bachelor in Computer Science or related discipline.
Essential Knowledge and Professional Experience: At least 1 year of experience in a similar position working with HPC codes. Experience using performance analysis tools and parallel debuggers. Experience supporting and collaborating with external partners. Previous expertise in parallel programming models (MPI, OpenMP, etc.).
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