Senior Lustre Systems Engineer for HPC & Debugging

Jobgether

Raleigh (NC)

Remote

USD 160,000 - 260,000

Full time

5 days ago
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Benefits offered by this job

Remote work for NC/TX
Ownership of challenges
AI-assisted workflows
Mentorship opportunities

Job summary

Jobgether is seeking a Sr. Staff Engineer, Lustre-based in the United States to advance distributed storage systems.

You will lead debugging, design enhancements, and performance improvements across Lustre subsystems, collaborating with QE and support teams to deliver robust, production-grade solutions for demanding workloads. This senior role emphasizes Linux, filesystem internals, HPC infrastructure, and the thoughtful use of AI-assisted tools to accelerate troubleshooting, code comprehension,

Qualifications

  • 10+ years in systems software, distributed systems, or filesystem engineering.
  • Strong C and Linux debugging; deep Lustre familiarity.

Responsibilities

  • Design, develop, and enhance LustreFS features and fixes across subsystems.
  • Investigate issues, perform root-cause analysis, implement fixes.
  • Improve performance, reliability, and fault tolerance in large deployments.
  • Lead code reviews and architecture discussions; assess testing readiness.
  • Collaborate with QE and support to reproduce issues and expand test coverage.
  • Troubleshoot across clients, servers, networks, and storage layers.
  • Document behavior, debugging techniques, and best practices.
  • Apply AI-assisted tools to accelerate debugging and design exploration.
  • Mentor engineers and lead subsystem initiatives.

Skills

LustreFS
C programming
Linux debugging
Kernel internals
HPC
Networking

Tools

LNet
RDMA
InfiniBand
ldiskfs
NVMe

Job description

Jobgether is seeking a Sr. Staff Engineer, Lustre-based in the United States to advance distributed storage systems.

You will lead debugging, design enhancements, and performance improvements across Lustre subsystems, collaborating with QE and support teams to deliver robust, production-grade solutions for demanding workloads. This senior role emphasizes Linux, filesystem internals, HPC infrastructure, and the thoughtful use of AI-assisted tools to accelerate troubleshooting, code comprehension,

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