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HPC Storage Performance Engineer

United States · Job Posted April 24, 2026
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Job Description

A global technology company supports organizations in managing and using data across different environments. Its solutions help connect, secure, and analyze applications and information. The organization values diverse perspectives, offers flexible work options, and encourages collaboration. It provides opportunities for career growth and development.

Job Responsibility

  • 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 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’ products and relevant HPC performance optimization techniques to ensure ability to provide high-quality benchmark performance results

Requirements

  • 10+ years of related working experience is required
  • 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

Nice to have

  • 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 in a Science, Technology, Engineering or Mathematical discipline

What we offer

  • Health & Wellbeing
  • Learning & Career Growth
  • Inclusive Culture
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