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Hewlett Packard Enterprise logo
Hewlett Packard Enterprise

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.

HPC Storage Performance Engineer

EngineerEngineerOtherRemoteSeniorTeam 10,001+Since 2015H1B SponsorCompany SiteLinkedIn

Location

California + 2 moreAll locations: California | Minnesota | Texas

Posted

125 days ago

Salary

$172K - $349K / year

Seniority

Senior

Bachelor DegreeExperience acceptedEnglishLinuxPython

Job Description

HPC Storage Performance Engineer

Hewlett Packard Enterprise

• Successfully complete long and short-term benchmark projects involving some of the largest HPC systems in the world that utilize the latest HPC technologies. • Understand HPC architectural components and features, as well as performance estimation methodologies used to provide required information and performance assessments for storage benchmarks on future HPE and competitive systems. • Provide technical analysis of I/O in standard HPC storage and application benchmarks. • Identify solutions, define action plans, and help coordinate and deliver optimal benchmark enhancements and solutions in partnership with account teams. • Develop and maintain current knowledge of competitors’ and HPE’s HPC products and relevant HPC performance optimization techniques to ensure HPE’s ability to provide high-quality benchmark performance results.

Job Requirements

  • Deep understanding of the HPC Storage environment, including Lustre architecture, tuning, and metrics gained through experience in HPC and AI environments
  • Experience with storage benchmarks, profiling tools and/or scientific/engineering software for HPC systems.
  • Familiarity with analyzing the role of storage in I/O synthetic benchmarks and end-user application performance.
  • Experience in one or more of the following storage solutions: DAOS, GPFS, WekaIO, VAST, BeeGFS.
  • Knowledge of HPC system components interaction with HPC benchmarks in addition to storage including processor, accelerator, memory, and software technologies
  • Understanding of parallel programming techniques and algorithms.
  • Ability to triage complex issues, provide test cases and interact with R&D groups as part of a process to report and fix bugs.
  • Expertise with 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)
  • BS (Masters Preferred) degree in a Science, Technology, Engineering or Mathematical discipline.

Benefits

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

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