Senior Staff Engineer, Lustre

šŸ”„ 40 minutes ago

🌲 North Carolina, Texas – Remote

infoinfo

ā° Full Time

🟠 Senior

šŸ§‘ā€šŸ’» Full-stack Engineer

Where this job comes from

Posted on DDN's careers page, not through a job board

First seen by Remote Rocketship 40 minutes ago

Logo of DDN

DDN

1001 - 5000 employees

šŸ¤– Artificial Intelligence

šŸ”§ Hardware

šŸ’° $300M GROWTH EQUITY VC on 2025-01

Artificial Intelligence • Hardware

DDN is a global provider of high-performance data infrastructure and an advanced data intelligence platform built for demanding AI and GPU workloads. DDN delivers purpose-built hardware (e. g. , AI400X systems) and software solutions (EXAScaler, Infinia, Data Intelligence Platform) to power AI factories, sovereign AI, hyperscalers, and supercomputing environments, optimizing GPU utilization and end-to-end AI pipelines. The company serves enterprises and cloud providers across industries including automotive, financial services, life sciences, media & entertainment, higher education, and the public sector, emphasizing data sovereignty, multi-tenant cloud deployments, and performance at scale.

šŸ“‹ Description

• Design, develop and debug LustreFS features, fixes and enhancements across llite, MDS/MDT, OSS/OST, LDLM and LNet • Investigate customer and scale-related defects, drive root-cause analysis and implement high-quality fixes • Contribute to performance tuning, failure analysis and reliability improvements for large-scale Lustre deployments • Participate in code reviews, design reviews and subsystem discussions • Work with QE and support to reproduce issues, improve diagnostic data quality and increase coverage for high-risk failure scenarios • Document subsystem behavior, debugging approaches, known failure patterns and operational best practices • Use AI-assisted tools to accelerate issue triage, log summarization, code understanding and reusable lessons learned • Investigate customer-facing and scale-related issues across client, metadata, object storage, LNet and transport layers • Design and implement reliability, observability and serviceability improvements • Review and validate fixes through targeted tests, failure injection, log analysis and performance characterization • Strengthen documentation, code review quality and subsystem knowledge sharing

šŸŽÆ Requirements

• 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 client, server, network and backend storage layers • Strong collaboration skills and ability to work across functions in a fast-moving engineering environment • 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 tooling preferred • Experience creating test plans, reproducer frameworks, runbooks or diagnostic automation preferred • Comfort using AI tools for debugging, code reviews, triage, documentation and early-stage design ideation preferred • Experience mentoring junior engineers or leading focused technical efforts within a subsystem preferred

šŸ–ļø Benefits

• No benefits, perks, or compensation extras are specified in the posting • Application limit: up to 3 positions within a 60-day window • Candidates are asked to wait 90 days before reapplying for the same position if it is not the right fit

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