Staff Engineer, Lustre

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Logo of DDN

DDN

1001 - 5000 employees

Founded 1998

đŸ€– Artificial Intelligence

💰 $10M Funding Round on 2011-06

Artificial Intelligence ‱ Data Center and Cloud Computing ‱ High Performance Computing

DDN is a global leader in AI data intelligence solutions, providing high-performance computing and sophisticated data management technologies. With a focus on accelerating AI deployments and advanced data analytics, DDN's products, including the Data Intelligence Platform and advanced storage systems, serve diverse sectors such as healthcare, financial services, and government. DDN is committed to transforming enterprise data infrastructure to leverage the full potential of AI and drive operational efficiency.

📋 Description

‱ 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.

🎯 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 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.

đŸ–ïž Benefits

‱ Competitive salary ‱ Flexible working hours

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