Senior Hpc Application Analyst (Remote)

At ParTec, we design, build, and support purpose-built heterogeneous supercomputer solutions for science using our modular supercomputing architecture approach. As a hardware-agnostic system provider, we work closely with leading technology companies in the field. For building some of the largest and most complex supercomputers in Europe, we integrate a broad range of products and compute technologies of different origin and maturity level into total system solutions using our ParaStation Modulo software suite.

For strengthening our team designing systems solutions for quantum and high-performance computing, we are looking for a

Senior High Performance Computing Application Analyst

Job Summary

This position reports to the Head of Customer Service and involves working with scientific applications to measure and optimise their performance on HPC and Cloud systems as well as analysing and improving overall system performance and stability. Additional tasks include contributing to root cause analysis of operational issues as well as projecting performance to future technologies. Projects could involve: improving application performance on customer systems and cloud platforms, porting and optimising applications to new architectures, or supporting technical sales by running benchmarks for customer procurements. A typical project requires gathering performance data for new hardware and software configurations, analysing and optimising the performance of applications, or working to understand the performance of HPC, AI, or data analytics algorithms on various architectures that include CPU processors and accelerators. The successful candidate as a holistic understanding of application and system performance and operations.

Required Skills & Experience

• Experience with parallel scientific applications and/or AI and data analytics frameworks
• Experience with HPC cloud computing, networking and AWS Parallel Cluster
• Excellent problem-solving skills and analytical ability
• Strong competence on C, C++, MPI, OpenMP programming, experience with Fortran desired
• Experience in GPU programming (CUDA, OpenACC, OpenMP)
• Experience with Slurm and HPC cluster management software
• Experience with application performance modelling and/or deep understanding of the issues affecting HPC application performance
• Familiarity with Linux, bash and python programming
• The ability to quickly learn new skills
• Fluency (written & spoken) in English is required.

Expected education and experience

• Master’s degree or Ph.D., typically in the field of computational science or applied mathematics
• Five years working experience in the area of HPC benchmarking or application support

Job conditions

• Flexible work hours, flexible workplace including home office
• Office environment available at our German headquarter in Munich
• Preferred locations: Greater Munich area (Germany) or greater Zurich area (Switzerland)
• Occasional travels, mostly to destinations in Europe

This is an exciting opportunity in one of the most advanced and dynamically developing fields of computing. If you are interested, please send your CV to career.customer-solutions@par-tec.com .

#J-18808-Ljbffr