DDN provides high-performance data intelligence and storage platforms that enable rapid, low-latency, high-throughput data access for NVIDIA GPU clusters, accelerating AI, LLM, GenAI, RAG, and HPC workloads.
WHAT YOU’LL DO - Contribute to Lustre architecture and lead implementation of new features across core subsystems including MDS/OSS, LDLM, DNE, DoM, FLD, layout, snapshot, quota, security, and recovery - Write high-performance, production-grade code across the Lustre kernel module, user-space utilities, and supporting libraries - Own the full development lifecycle for major features, from design and coding through testing, performance tuning, and upstream patch submission - Improve scalability for multi-petabyte Lustre environments, including metadata performance, I/O path optimization, and integration with modern interconnects and storage fabrics - Modernize Lustre internals through kernel API updates, locking improvements, RDMA enhancements, and cloud/container-oriented capabilities - Prototype and evaluate emerging technologies such as NVMe-oF, CXL, and other next-generation storage approaches for potential Lustre integration - Strengthen regression, stress, and performance validation using tools such as IOR, mdtest, fio, and custom Lustre test tooling - Perform deep code-level performance analysis using Lustre tracing tools, perf, lockstat, and kernel profilers - Work closely with Principal Engineers, hardware teams, and application owners to translate real workload needs into practical Lustre improvements - Mentor other developers and contribute design docs, technical guides, and engineering reviews WHAT WE’RE LOOKING FOR - 7+ years of progressive, hands-on Lustre software development experience - A strong track record of meaningful contributions to the Lustre codebase in production or open-source environments - Demonstrated success designing, implementing, and upstreaming Lustre features that made it into major releases - Deep understanding of Lustre internals, including MDS/OSS architecture, LDLM locking and recovery, journaling, DNE, DoM, FLD, layout, quota, and security - Expert-level C programming and strong Linux kernel development experience - Strong knowledge of distributed systems, parallel file systems, and high-performance I/O - Experience with Lustre build, development, and debugging tooling such as lctl, llstat, strace, perf, and kernel tracers - Python and/or Bash skills for tooling and automation - Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field - Clear written and verbal communication skills, with the ability to explain complex technical concepts effectively NICE TO HAVE - 7+ years in HPC or storage software development - Visible contributions to the Lustre open-source community, including accepted patches, LUG participation, or public technical talks - Experience running or developing Lustre in cloud environments such as AWS FSx for Lustre, Azure Lustre, or custom cloud deployments - Familiarity with adjacent systems such as Ceph, DAOS, BeeGFS, WekaIO, or GPFS - Exposure to RDMA, NVMe-oF, CXL, computational storage, or AI/ML I/O workloads - Conference presentations, technical publications, or other public engineering contributions YOU’LL LIKELY BE A STRONG FIT IF YOU… - Have built inside Lustre itself, not just around it - Enjoy solving hard kernel, performance, and distributed systems problems - Care about code quality, upstream contribution, and long-term architectural impact - Want to work on infrastructure that operates at real scale under real performance constraints THIS ROLE IS PROBABLY NOT THE RIGHT FIT IF YOU… - Have mainly supported or administered Lustre rather than developed it - Come from general storage or kernel backgrounds without clear Lustre code contribution history - Prefer high-level application engineering over low-level systems and kernel work