Parallel Programming Internship Jobs (NOW HIRING)

Job Description:

HPE is seeking a High-Performance Computing (HPC) Benchmarking Performance Engineer to work with both standard and scientific application benchmarks on HPE's supercomputing platforms. Familiarity with HPC is advantageous, particularly in areas such as processor performance, network technologies, software expertise, and application performance and scalability. The ideal candidate will demonstrate strong technical skills in HPC scientific application software, performance analysis, and a solid understanding of HPC hardware and architecture, applying this knowledge to benchmarking activities for HPE supercomputers deployed globally.

HPE operates in a fast-paced and ever-changing environment. We are looking for driven engineers who consistently deliver the high-quality results for HPE's HPC & AI customers.

Responsibilities:

• Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the newest HPC technologies.
• Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for benchmarks on future HPE and competitive systems.
• Complete and provide technical analysis of HPC I/O, standard and scientific application performance-based benchmark tests.
• Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions.

• Proactively develop and maintain advanced knowledge of HPE and competitor HPC products by participating in targeted training sessions, and collaborating with internal and external HPC experts. Apply specialised HPC performance optimisation techniques including parallel processing, efficient memory management, and comprehensive code profiling to ensure delivery of robust benchmark performance results on HPE's HPC and AI systems.

Qualifications:

• Experience with storage benchmarks, profiling tools and/or software for HPC systems. Coursework and internship experience is considered relevant

• Knowledge of HPC system components that include processor technologies, accelerator technologies, memory technologies, & software technologies - and the ability to understand their impacts on various HPC benchmarks.
• Understanding of parallel programming techniques and algorithms.
• Ability to take on some of the most challenging HPC projects to advance the capabilities of HPC which will benefit HPE customers and the world.
• A demonstrated ability to assess and optimize aspects of computational application benchmark performance on HPC Linux based system
• Expertisewith software utilized by the HPC community that includes Compilers (C++, C, Fortran), OpenMP, MPI & MPI-IO, Python and other Linux based scripting languages
• Expertise in GPU programming (CUDA and HIP)
• Ability to use Performance profiling tools and debugging tools on Linux based systems.

• Familiarity with analyzing and assessing benchmark and application performance for HPC systems.
• Excellent analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery of English required.
• Masters degree [PhD preferred] in a technical field (Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental, etc.).

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