
1001 - 5000 employees
Founded 1998
đ„ Healthcare
đŠ Logistics
đ Manufacturing
đ° $10M Funding Round on 2011-06
Healthcare âą Logistics âą Manufacturing
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.
đ„ 12 hours ago
đČ North Carolina, Texas â Remote
â° Full Time
đ Senior
đ§âđ» Full-stack Engineer
đŠ H1B Visa Sponsor
đ» Ghost score 12%
Where this job comes from
Posted on DDN's careers page, not through a job board
First seen by Remote Rocketship 12 hours ago
Still open on DDN's site. Checked 3 hours ago.

1001 - 5000 employees
Founded 1998
đ„ Healthcare
đŠ Logistics
đ Manufacturing
đ° $10M Funding Round on 2011-06
Healthcare âą Logistics âą Manufacturing
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.
âą Design, develop and debug LustreFS features, fixes and enhancements across llite, MDS/MDT, OSS/OST, LDLM and LNet âą Investigate customer and scale-related defects, drive root-cause analysis and implement high-quality fixes âą Contribute to performance tuning, failure analysis and reliability improvements for large-scale Lustre deployments âą Participate in code reviews, design reviews and subsystem discussions âą Work with QE and support to reproduce issues, improve diagnostic data quality and increase coverage for high-risk failure scenarios âą Document subsystem behavior, debugging approaches, known failure patterns and operational best practices âą Use AI-assisted tools to accelerate issue triage, log summarization, code understanding and reusable lessons learned âą Investigate customer-facing and scale-related issues across client, metadata, object storage, LNet and transport layers âą Design and implement reliability, observability and serviceability improvements âą Review and validate fixes through targeted tests, failure injection, log analysis and performance characterization âą Strengthen documentation, code review quality and subsystem knowledge sharing
âą 10+ years of experience in systems software, distributed systems, storage, Linux kernel or filesystem engineering âą Strong experience in LustreFS development, support or performance engineering, with depth in at least one major subsystem âą Strong C programming and Linux systems debugging skills âą Working knowledge of Linux kernel internals, filesystem semantics, networking and performance analysis âą Experience with LNet and/or high-performance transports such as RDMA, InfiniBand, RoCE or TCP-based storage networking âą Ability to debug and resolve issues spanning client, server, network and backend storage layers âą Strong collaboration skills and ability to work across functions in a fast-moving engineering environment âą Experience in HPC, AI infrastructure or large-scale parallel storage environments preferred âą Exposure to metadata-heavy and throughput-heavy workload characterization and tuning preferred âą Familiarity with ZFS, ldiskfs, NVMe-backed storage and observability/performance tooling preferred âą Experience creating test plans, reproducer frameworks, runbooks or diagnostic automation preferred âą Comfort using AI tools for debugging, code reviews, triage, documentation and early-stage design ideation preferred âą Experience mentoring junior engineers or leading focused technical efforts within a subsystem preferred
âą No benefits, perks, or compensation extras are specified in the posting âą Application limit: up to 3 positions within a 60-day window âą Candidates are asked to wait 90 days before reapplying for the same position if it is not the right fit
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