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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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HPC Engineer for Earth Sciences applications (RE1/2)

Barcelona Supercomputing Center
Found 4 weeks ago
Location
Barcelona, Spain
Duration (Months)
12 Months
Time
Full-time
Work Mode
Not disclosed
Salary
competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Fortran
  • C/C++
  • Unix/Linux environments
  • Bash
  • Python
  • git
  • SVN
  • HPC performance
  • profiling tools
  • Intel VTune
  • compiling
  • running
  • optimizing scientific codes
  • HPC systems
  • HPC architecture
  • parallel programming paradigms
  • MPI
  • OpenMP
  • Unix- or Linux-based HPC systems

Soft Skills

  • Excellent problem-solving skills
  • Proactive attitude
  • Learning capacity and motivation to maintain a learning progression
  • Good written and verbal skills
  • capacity to support Earth and Computational scientists

Job Description

The successful candidate will work on profiling and implementing computational optimizations for Earth Sciences applications running at a very high-resolution configuration using top European HPC platforms. The candidate will also be involved in developing the department's "common" tools: these include several applications whose interest is shared among different sub-groups in the Earth Sciences department and whose number of users can range from small groups to several institutions.

Requirements

  • Excellent computing skills in high-level computer languages (especially Fortran or C/C++) and experience with Unix/Linux environments and scripting languages (Bash, Python, etc)
  • Programming skills to manage big and collaborative projects and experience with git and/or SVN
  • Knowledge of HPC performance and profiling tools such as Intel VTune
  • Experience or knowledge in compiling, running and optimizing scientific codes on large HPC systems
  • Experience or knowledge in HPC architecture and parallel programming paradigms such as MPI and OpenMP
  • Experience or knowledge in the usage and support of Unix- or Linux-based HPC systems
  • Excellent problem-solving skills
  • Proactive attitude
  • Learning capacity and motivation to maintain a learning progression
  • Good written and verbal skills and capacity to support Earth and Computational scientists
  • Fluency in English

Related Field

  • Software Engineering

Related Subfield

  • Software QA & Testing

Languages

  • English

Nice to Haves

  • Master’s degree
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