Hewlett Packard Enterprise

HPC Storage Performance Engineer

Hewlett Packard Enterprise

full-time

Posted on:

Location Type: Remote

Location: CaliforniaMinnesotaUnited States

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Salary

💰 $152,000 - $349,000 per year

Tech Stack

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
HPC technologiesHPC storageLustre architectureDAOSGPFSWekaIOVASTBeeGFSparallel programmingGPU programming
Soft Skills
technical analysisproblem-solvingcollaborationcommunicationtriage complex issues