Parallel Performance Analist (Re2) Co-024

Detalles de la oferta

Context And Mission Codes provided will be written in high-level languages (C, C++, Fortran) parallelized with OpenMP and MPI.
The work will be done in the context of different competitive projects and collaborations with companies.
Key Duties Proof-of-concept of suggested optimizations Document and disseminate developments and findings Requirements Education - MsC in Computer Sciences, Computer Engineering, Telecommunication Engineering or equivalent Essential Knowledge and Professional Experience An intimate knowledge of OpenMP and MPI 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.
Additional Knowledge and Professional Experience Knowledge about version-control software (preferably Git) will be valued Knowledge about profiling tools (e.g., gprof, oprofile, perf) will be valued Knowledge about Linux debugging tools (e.g., gdb, valgrind) will be valued Knowledge about low-level programming will be valued Experience in GPU programming will be valued Experience supporting and collaborating with external partners.
Competences Fluency in spoken and written English (Spanish will be valued) Good communication and presentation skills Ability to learn and adapt to multiple programming languages easily Ability to work independently and in a team Additional Information The position will be located at BSC within the Computer Sciences Department.
We offer a full-time contract, 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.
Starting date: ASAP #J-18808-Ljbffr


Salario Nominal: A convenir

Fuente: Talent_Dynamic-Ppc

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