HPC Storage Performance Engineer

HPC Storage Performance Engineer

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

   

Responsibilities:

• 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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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#highperformancecompute

Job:

Engineering

Job Level:

TCP_06

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 152,000 - 349,000 in Minnesota & Texas
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

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All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.