HPC Storage Performance Engineer

HPC Storage Performance Engineer

This role has been designated as 'Remote/Teleworker', which means you will primarily work from home.

Who We Are:

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. Our culture thrives on finding new and better ways to accelerate what's next.

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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

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:

* 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.

Additional

Skills:

Cross Domain Knowledge, Design Thinking, Development Fundamentals, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX)

What We Can Offer You:

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

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Job:

Engineering

Job Level:

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience,…