HPC Applications Expert (m/f/d)

Max Planck Computing and Data Facility, Garching

Type of Job

EDV & Informatics

Job offer from June 13, 2024

You want to ...

... work with the latest generation of supercomputers in the Exascale era? 
... work at one of the most renowned scientific organizations in the world? 
... contribute to state-of-the art scientific simulation codes widely used in the community?

Join the Max Planck Computing and Data Facility (MPCDF), a competence centre of the Max Planck Society (MPG), located on the research campus Garching near Munich, Germany. The MPCDF operates supercomputers and data repositories for the MPG and is engaged in the development and optimization of algorithms and applications for high performance computing (HPC), artificial intelligence and machine learning, as well as in the design and implementation of solutions for data-intensive projects in close collaboration with the Max Planck Institutes. The MPCDF, in collaboration with the Theory Department of Prof. Angel Rubio at the Max Planck Institute for Structure and Dynamics of Matter, is looking for a HPC applications expert (f/m/d), Reference 2024/06

The successful candidate will be associated with the applications group at the MPCDF and will work on the development and optimization of new methods in the electronic-structure software package octopus (www.octopus-code.org) and related applications, with a focus on their extension to exascale HPC architectures (e.g. GPU-accelerated clusters), and in close collaboration with domain scientists and application developers at the Max Planck Institute for Structure and Dynamics of Matter.

Your profile

  • Strong background in scientific software development and parallel programming, ideally with modern Fortran, C or C++ together with MPI, OpenMP and GPU programming models
  • Some experience with High Performance Computing, e.g., profiling applications
  • A PhD in Physics, applied Mathematics, Computer Science, or a similar subject is desired but not mandatory
  • Ability for focused and autonomous work on a large complex code
  • A background in numerical methods is a plus

Our offer 

  • Work on state-of-the-art numerical algorithms and leading HPC codes
  • Access to the latest supercomputer technologies
  • A strong cooperation with national and international partners, specifically with leading scientists in the field of electronic structure theory at the Max Planck Institute for Structure and Dynamics of Matter in Hamburg
  • Supportive and motivated multi-disciplinary team
  • Open-minded, inspiring, cooperative, and international atmosphere
  • Training on-the-job, learning new skills and options for professional development
  • Flexible working hours with liberal options for mobile working
  • Various offers to reconcile work and family life
  • Close by Underground Station (U6); MVV job ticket with extra grants
  • Munich is a large, cosmopolitan city that offers a wide variety of culture and leisure activities.

The full-time position starts as soon as possible and is initially limited for a maximum period of three years. Salary will be based on experience according to the German TVöD E13.

Please find more information on https://www.mpcdf.mpg.de, https://www.mpsd.mpg.de/en. For further questions, contact .

Your application

Please apply with a statement of motivation and a CV online by July, 27th, 2024.

The ideals of mutual respect, open-mindedness and consideration are important to us. We have a diverse workforce from different countries and cultures at the MPCDF. We aim to increase the proportion of women in IT and therefore encourage women to apply. In order to cultivate teamwork and a positive working atmosphere, equal opportunities and equal treatment play an important role for all aspects of personal identity, such as gender, sexual orientation, country of origin, nationality, language skills, race, religion, culture, appearance, family status, age, or handicap. Persons with disabilities will be given preferential consideration if equally qualified.

Go to Editor View