Sr. Staff Engineer, Lustre

• Design, develop and debug LustreFS features, fixes and enhancements across relevant subsystems such as llite, MDS/MDT, OSS/OST, LDLM and LNet.

• Investigate customer and scale-related defects, drive root-cause analysis and implement high-quality fixes with strong attention to correctness and maintainability.

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

• Participate actively in code reviews, design reviews and subsystem discussions, bringing rigor to testing and operational readiness.

• Work closely with QE and support to reproduce issues, improve diagnostic data quality and increase coverage for high-risk failure scenarios.

• Help document subsystem behavior, debugging approaches, known failure patterns and operational best practices.

• Use AI-assisted tools where appropriate to speed up issue triage, summarize logs, improve code understanding and capture reusable lessons learned.

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

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

• Strong C programming and Linux systems debugging skills.

• Working knowledge of Linux kernel internals, filesystem semantics, networking and performance analysis.

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

• Ability to debug and resolve issues spanning multiple layers including client, server, network and backend storage.

• Strong collaboration skills and the ability to work across functions in a fast-moving engineering environment.

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

• Exposure to metadata-heavy and throughput-heavy workload characterization and tuning.

• Familiarity with ZFS, ldiskfs, NVMe-backed storage and related observability / performance tooling.

• Experience creating test plans, reproducer frameworks, runbooks or diagnostic automation.

• Comfort using AI tools to accelerate debugging, code reviews, triage, documentation and early-stage design ideation.

• Experience mentoring junior engineers or leading focused technical efforts within a subsystem.

• Hands-on development and debugging of LustreFS defects, performance issues and subsystem enhancements.

• Customer-facing and scale-related issue investigation across llite, metadata, object storage, LNet and transport layers.

• Collaborative design and implementation of reliability, observability and serviceability improvements.

• Reviewing and validating fixes through targeted tests, failure injection, log analysis and performance characterization.

• Using AI-assisted workflows to accelerate triage, debug loops, code understanding and documentation quality.

• Contributing to team redundancy by strengthening documentation, code review quality and subsystem knowledge sharing.

   

This role is central to building durable engineering redundancy in LustreFS: expanding deep subsystem ownership, reducing concentration risk, and accelerating next-generation delivery through strong engineering fundamentals and AI-enabled execution.