High Performance Computing Specialist
hace 6 días
About ICN2
The Catalan Institute of Nanoscience and Nanotechnology (ICN2) is a leading research center dedicated to achieving excellence in nanoscience and nanotechnology. Our mission is to push the boundaries of scientific and technological innovation, driving breakthroughs in the field.
Research Focus
Our research lines focus on the newly-discovered physical and chemical properties that arise from the behavior of matter at the nanoscale. We have been awarded the Severo Ochoa Center of Excellence distinction for three consecutive periods, recognizing our commitment to excellence in research.
Job Title: High Performance and Scientific Computing Engineer
We are seeking a highly skilled computing engineer to join our team as a High Performance and Scientific Computing Engineer. The successful candidate will work closely with our IT department and research groups to set up and run our computational facilities.
Main Responsibilities
- Installation and management of High-Performance Computing infrastructures
- Specialization in scientific computing, with a focus on installation and maintenance of scientific libraries, queuing systems, storage infrastructures, hardware, network communication, and other necessary actions for smooth and efficient performance of the HPC facilities
- Interaction with researchers developing scientific software, requiring sufficient knowledge of scientific programming languages and tools (Fortran, parallelization, I/O, numerical methods, etc.)
- Knowledge of modern heterogeneous architectures (including GPUs) is a must
Requirements
- Education: MSc or PhD in computer science, software engineering, computational physics, or related fields
- Strong skills in Linux environments, especially in scientific environments
- Expertise with installation, administration, monitoring, and maintaining secure Linux/Unix operating systems
- Familiarity with low-latency/high-bandwidth, interconnected infrastructure (including Infiniband, 10/100GigE, and others)
- Expertise with HPC cluster management tools, job schedulers, and other HPC tools
- Knowledge of HPC storage principles, file systems, and compute node storage
- Proficiency with fundamental programming skills (Bash, Python, Fortran, C)
- Familiarity with shared and distributed memory parallelism (OpenMP, MPI), and accelerators (GPUs) and its programming tools (OpenACC, CUDA,...)
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