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Sr. Staff Engineer, Lustre

Backend Full-time Permanent Remote - North Carolina

Job details

Not specified Salary
Remote - North Carolina Eligibility
Senior Experience
Full-time Employment

About this role

Role overview This hands-on senior systems engineering role focuses on developing, debugging, and improving Lustre parallel file system software and adjacent components. The engineer will investigate complex customer and scale-related problems, strengthen performance and reliability, and help spread subsystem knowledge across engineering, quality, support, and release teams.

Responsibilities - Develop and debug Lustre features, fixes, and enhancements across areas such as clients, metadata, object storage, locking, and networking. - Investigate defects across client, server, network, and storage layers; identify root causes and deliver maintainable fixes. - Tune performance and improve reliability for large deployments. - Participate in code and design reviews, with attention to testing and operational readiness. - Work with quality and support teams to reproduce failures and improve diagnostic coverage. - Document subsystem behavior, troubleshooting methods, recurring failure patterns, and operating practices. - Apply AI-assisted tools where useful for triage, code understanding, debugging, and documentation.

Requirements - At least 10 years in systems software, distributed systems, storage, Linux kernel, or filesystem engineering. - Strong Lustre development, support, or performance experience, with depth in at least one major subsystem. - Strong C programming and Linux systems debugging skills. - Working knowledge of kernel internals, filesystem behavior, networking, and performance analysis. - Experience with LNet or high-performance networking such as RDMA, InfiniBand, RoCE, or TCP-based storage transport. - Ability to diagnose issues spanning multiple system layers and collaborate across functions.

Nice to have Experience with HPC, AI infrastructure, or large-scale parallel storage; workload characterization; ZFS, ldiskfs, NVMe storage, or observability tools; test automation and runbooks; AI-assisted engineering; and mentoring or subsystem leadership.

Detected Oct 19, 2026
Last verified Nov 2, 2026

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