HIGH PERFORMANCE AND SCIENTIFIC COMPUTING ENGINEER

ENGLISH VERSION The mission of the Catalan Institute of Nanoscience and Nanotechnology (ICN2) is to achieve the highest level of scientific and technological excellence in Nanoscience and Nanotechnology.
Its research lines focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale.
ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction for three consecutive periods ( and ).
ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology.
Job Title.
High Performance and Scientific Computing Engineer Research area or group.
IT Department, Theory and Simulation Group, and Theoretical and Computational Nanoscience Group Main Tasks and responsibilities.
We seek for a computing engineer with demonstrated experience in the installation and management of High-Performance Computing infrastructures, specialized in scientific computing.
The successful candidate will engage with the IT department of ICN2, and with the research groups that use scientific computing as a tool in their research, to set up and run the computational facilities of the centre.
Tasks and responsibilities will also include the installation and maintenance of scientific libraries, queuing systems, storage infrastructures, hardware, network communication and all other necessary actions for a smooth and efficient performance of the HPC facilities.
A high capacity to understand and cover the needs of the scientific groups that use the HPC facilities is key for this position.
In this respect, although scientific programming is not among the tasks of the position, successful candidates must be able to interact with the researchers developing the scientific software, and thus must have sufficient knowledge of scientific programming languages and tools (Fortran, parallelization, I/O, numerical methods, etc).
Knowledge of usage of modern heterogeneous architectures (including GPUs) is also a must.
Requirements.
Education.
MSc or PhD in computer science, software engineering, computational physics, or related fields.
Knowledge and Experience 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, GigE, 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,...).
Proficiency with multi-vendor management, security and network/Internet protocols.
Ability to establish processes for maintaining system performance and managing best-in-class standards, including the monitoring of new relevant developments in the HPC field.
Experience building and debugging large-scale engineering/scientific software in large clusters and heterogeneous architectures is desirable.
Experience in the use of mathematical libraries is desirable.
Experience in performance analysis is desirable.
Experience leveraging cloud platforms (AWS, Azure...) to deploy scientific computing is desirable.
Personal Competences.
Ability to communicate efficiently in English (both written and spoken) is a must.
Catalan knowledge will be valued.
Strong skills for building and maintaining detailed and accurate documentation.
Teamwork skills required.