Hybrid File Systems Engineer for HPC & AI Storage

Hewlett Packard Enterprise Company; Bloomington (IN); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Hewlett Packard Enterprise Company in Bloomington, Indiana, is seeking a File Systems Engineer to design and optimize storage subsystems for HPC workloads. The role is hybrid, requiring on-site presence about two days per week to collaborate with the storage team.

You will work on Lustre and Linux kernel I/O, analyze designs, develop testing plans, and mentor junior engineers while delivering high-performance storage solutions for AI and analytics workloads.

Qualifications

• Experience designing, updating, and debugging storage subsystems.
• Writing and executing testing plans for storage subsystems; identifying bottlenecks.
• Collaborating with software engineers to deliver high-performance storage solutions.

Responsibilities

• Designs enhancements, updates, and programming changes for Lustre and Linux kernel I/O subsystems.
• Analyzes design and determines coding, programming, and integration activities such as layout evolution and data tiering.
• Writes and executes testing plans and documentation; debugs I/O call stacks, VFS bottlenecks, and kernel panics.
• Collaborates with project teams to develop reliable storage solutions for HPC workloads.
• Communicates status and progress to management and internal partners.
• Acts as a key technical contributor across enterprise storage architecture projects.
• Provides guidance and mentoring to less-experienced staff.

Skills

Lustre file system

Linux kernel I/O

High-performance storage

HPC workloads

AI workloads

Tools

OST policies

VFS debugging

Testing frameworks

Job description

Hewlett Packard Enterprise Company in Bloomington, Indiana, is seeking a File Systems Engineer to design and optimize storage subsystems for HPC workloads. The role is hybrid, requiring on-site presence about two days per week to collaborate with the storage team.

You will work on Lustre and Linux kernel I/O, analyze designs, develop testing plans, and mentor junior engineers while delivering high-performance storage solutions for AI and analytics workloads.