Senior Staff Engineer, Lustre

This is a fully remote position, open to applicants in North Carolina, +1 more state.

📋 Description

• Design, develop, and troubleshoot features, fixes, and enhancements for LustreFS across llite, MDS/MDT, OSS/OST, LDLM, and LNet.

• Investigate defects related to customers and scalability, perform root-cause analysis, and implement high-quality solutions.

• Contribute to performance optimization, failure analysis, and reliability enhancements for large-scale Lustre deployments.

• Engage in code reviews, design evaluations, and subsystem discussions.

• Collaborate with Quality Engineering and support teams to replicate issues, enhance the quality of diagnostic data, and expand coverage for high-risk failure scenarios.

• Document subsystem behavior, debugging techniques, known failure patterns, and operational best practices.

• Utilize AI-assisted tools to expedite issue triage, log summarization, code comprehension, and capture reusable lessons learned.

• Examine customer-facing and scalability-related issues across client, metadata, object storage, LNet, and transport layers.

• Design and implement improvements for reliability, observability, and serviceability.

• Review and validate fixes through targeted testing, failure injection, log analysis, and performance characterization.

• Enhance documentation, the quality of code reviews, and knowledge sharing within the subsystem.

⛳️ Requirements

• Over 10 years of experience in systems software, distributed systems, storage, Linux kernel, or filesystem engineering.

• Extensive experience in LustreFS development, support, or performance engineering, with expertise in at least one major subsystem.

• Proficient in C programming and debugging Linux systems.

• Solid understanding of Linux kernel internals, filesystem semantics, networking, and performance analysis.

• Familiarity with LNet and/or high-performance transport protocols such as RDMA, InfiniBand, RoCE, or TCP-based storage networking.

• Ability to troubleshoot and resolve issues that span client, server, network, and backend storage layers.

• Strong collaboration skills and capacity to work across functions in a dynamic engineering environment.

• Preferred experience in HPC, AI infrastructure, or large-scale parallel storage environments.

• Preferred exposure to metadata-heavy and throughput-heavy workload characterization and tuning.

• Preferred familiarity with ZFS, ldiskfs, NVMe-backed storage, and observability/performance tools.

• Preferred experience in creating test plans, reproducer frameworks, runbooks, or diagnostic automation.

• Preferred comfort in using AI tools for debugging, code reviews, triage, documentation, and early-stage design ideation.

• Preferred experience in mentoring junior engineers or leading focused technical efforts within a subsystem.

🏝️ Benefits

• No benefits, perks, or additional compensation details are provided in the posting.

• Application limit: up to 3 positions within a 60-day period.

• Candidates are requested to wait 90 days before reapplying for the same position if it is not a suitable match.