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Research Engineer HPC/AI Focus Daedalus System(m/w/x)
Software enablement and environment abstraction for Exascale supercomputers at global edge-to-cloud provider. Parallel programming experience and understanding of AI/ML frameworks required. Comprehensive wellbeing support suite, personal development programs.
Requirements
- Valid work permit for Switzerland/EU
- Experience in compiled and interpreted languages
- B.Sc. in STEM discipline or equivalent
- Parallel programming experience
- Understanding of AI/ML frameworks
- Interest in system and data monitoring
- Team spirit and independence
- Strong self and team representation
- Ability to handle complex tasks
- Experience in team-based technical developments
- Communication with diverse stakeholders
- Technical knowledge and big-picture thinking
- M.Sc. or Ph.D. in STEM discipline
- Experience in domain-specific software ecosystems
- Experience working on EU projects
- Experience with HPC or Cloud applications
- Experience working with research consortia
- Strong English communication skills
- Skills in Greek, German, French, Italian
Tasks
- Enable high performance research software on Exascale supercomputers
- Provide new environments and abstractions for application developers
- Build, deploy, and run applications on leading-edge hardware
- Develop sustainable methods for operating HPC/AI systems
- Manage data-intensive workloads in high performance environments
- Maintain trusted research environments for data workloads
- Optimize workloads for the Daedalus supercomputer
- Improve sustainability for high-usage applications
- Optimize GPU usage and large-scale AI performance
- Prepare applications for next-generation computing platforms
- Support convergence between AI and data science
- Collaborate with the European research community
- Foster collaboration with HPE sites and EuroHPC systems
- Develop data-centric application coupling and secure HPC
- Perform monitoring and operational data analytics
- Apply mathematical optimization to technical challenges
- Utilize containers and high performance AI solutions
- Optimize compilers and specific software applications
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- Greek – Basic
- German – Basic
- French – Basic
- Italian – Basic
Tools & Technologies
- C
- C++
- Fortran
- Python
- OpenMP
- MPI
- CUDA
- OpenACC
- HIP
- PGAS
- TensorFlow
- PyTorch
Benefits
Other Benefits
- Comprehensive benefits suite
- Financial wellbeing support
- Personal and professional development
Healthcare & Fitness
- Physical wellbeing support
Mental Health Support
- Emotional wellbeing support
Learning & Development
- Career investment programs
Flexible Working
- Flexible work management
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Research Engineer HPC/AI Focus Daedalus System(m/w/x)
Software enablement and environment abstraction for Exascale supercomputers at global edge-to-cloud provider. Parallel programming experience and understanding of AI/ML frameworks required. Comprehensive wellbeing support suite, personal development programs.
Requirements
- Valid work permit for Switzerland/EU
- Experience in compiled and interpreted languages
- B.Sc. in STEM discipline or equivalent
- Parallel programming experience
- Understanding of AI/ML frameworks
- Interest in system and data monitoring
- Team spirit and independence
- Strong self and team representation
- Ability to handle complex tasks
- Experience in team-based technical developments
- Communication with diverse stakeholders
- Technical knowledge and big-picture thinking
- M.Sc. or Ph.D. in STEM discipline
- Experience in domain-specific software ecosystems
- Experience working on EU projects
- Experience with HPC or Cloud applications
- Experience working with research consortia
- Strong English communication skills
- Skills in Greek, German, French, Italian
Tasks
- Enable high performance research software on Exascale supercomputers
- Provide new environments and abstractions for application developers
- Build, deploy, and run applications on leading-edge hardware
- Develop sustainable methods for operating HPC/AI systems
- Manage data-intensive workloads in high performance environments
- Maintain trusted research environments for data workloads
- Optimize workloads for the Daedalus supercomputer
- Improve sustainability for high-usage applications
- Optimize GPU usage and large-scale AI performance
- Prepare applications for next-generation computing platforms
- Support convergence between AI and data science
- Collaborate with the European research community
- Foster collaboration with HPE sites and EuroHPC systems
- Develop data-centric application coupling and secure HPC
- Perform monitoring and operational data analytics
- Apply mathematical optimization to technical challenges
- Utilize containers and high performance AI solutions
- Optimize compilers and specific software applications
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
- Greek – Basic
- German – Basic
- French – Basic
- Italian – Basic
Tools & Technologies
- C
- C++
- Fortran
- Python
- OpenMP
- MPI
- CUDA
- OpenACC
- HIP
- PGAS
- TensorFlow
- PyTorch
Benefits
Other Benefits
- Comprehensive benefits suite
- Financial wellbeing support
- Personal and professional development
Healthcare & Fitness
- Physical wellbeing support
Mental Health Support
- Emotional wellbeing support
Learning & Development
- Career investment programs
Flexible Working
- Flexible work management
About the Company
Hewlett Packard Enterprise
Industry
IT
Description
Das Unternehmen ist ein führendes IT-Unternehmen, das es seinen Kunden ermöglicht, technologisch immer einen Schritt voraus zu sein.
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