Staff Engineer, Lustre

Remote - Californiafull timeRemote

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senior

$200k–$250k

H1B: no

Ddn Staff Engineer, Lustre at Ddn is a senior technical role focused on design, debugging, performance, and operational excellence of LustreFS and related subsystems. The role requires deep expertise in distributed storage and Linux-based systems engineering.

Responsibilities

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.

Qualification

Experience in HPCFamiliarity with ZFSExperience creating test plansWhat You Will Work On

Required

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.

Preferred

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.
What You Will Work On
Hands-on development and debugging of LustreFS defects, performance issues and subsystem enhancements.

Company

Ddn

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Source: ashby

Active within the past hour

Remote-friendly

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