
HPC Storage Performance Engineer
Hewlett Packard Enterprise
full-time
Posted on:
Location Type: Remote
Location: California • Minnesota • United States
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Salary
💰 $152,000 - $349,000 per year
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