Hybrid File Systems Engineer — Lustre & HPC

Hewlett Packard Enterprise Development LP

BLOOMINGTON (MN)

Hybrid

USD 106,000 - 243,000

Full time

4 days ago
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Benefits offered by this job

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Job summary

Hewlett Packard Enterprise Development LP is seeking a File Systems Engineer to design and implement storage subsystems for HPC and AI workloads in a hybrid environment. You will work on Lustre and Linux kernel I/O stacks, optimize I/O paths, and collaborate with a multi-disciplinary team to deliver high-performance storage solutions.

The role requires strong C programming skills, experience with Linux internals, and a track record of testing and debugging complex distributed systems.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
  • Typically, 4-7 years' experience.
  • Strong proficiency in C, and Python, Bash, or Rust.

Responsibilities

  • Designs enhancements, updates, and programming changes for specific subsystems of parallel file systems (Lustre).
  • Analyzes design and determines coding, programming, and integration activities.
  • Writes and executes complete testing plans and documentation for storage subsystems; debugs I/O call stacks and kernel bottlenecks.
  • Collaborates with engineering teams to develop high-performance storage solutions for HPC/AI workloads.
  • Provides guidance and mentoring to junior staff.

Skills

C
Python
Bash
Rust
Lustre
Linux internals
strace
perf
English communication

Education

Bachelor's or Master's in CS/IS

Tools

strace
Perf
VFS debugging

Job description

Hewlett Packard Enterprise Development LP is seeking a File Systems Engineer to design and implement storage subsystems for HPC and AI workloads in a hybrid environment. You will work on Lustre and Linux kernel I/O stacks, optimize I/O paths, and collaborate with a multi-disciplinary team to deliver high-performance storage solutions.

The role requires strong C programming skills, experience with Linux internals, and a track record of testing and debugging complex distributed systems.

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