3 months ago
Remote, United StatesSenior / Staff+
Responsibilities
- Contribute to Lustre architecture and lead implementation of features across core storage subsystems.
- Write production-grade C code across the Lustre kernel module, user-space utilities, and supporting libraries.
- Own feature development from design and implementation through testing, performance tuning, and upstream submission.
- Improve scalability, metadata performance, I/O paths, and integration with interconnects and storage fabrics in multi-petabyte environments.
- Modernize Lustre internals through kernel API updates, locking improvements, RDMA enhancements, and cloud/container capabilities.
- Prototype emerging storage technologies including NVMe-oF and CXL for potential Lustre integration.
- Strengthen regression, stress, and performance validation using IOR, mdtest, fio, and Lustre test tooling.
- Perform code-level performance analysis with Lustre tracing tools, perf, lockstat, and kernel profilers.
- Collaborate with Principal Engineers, hardware teams, and application owners on workload-driven improvements.
- Mentor developers and contribute design documents, technical guides, and engineering reviews.
Requirements
- At least 7 years of progressive, hands-on Lustre software development experience.
- A strong record of meaningful Lustre code contributions in production or open-source environments.
- Demonstrated success designing, implementing, and upstreaming Lustre features included in major releases.
- Deep knowledge of Lustre internals, including MDS/OSS, 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 development, build, and debugging tools 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.
- Preferred experience includes 7+ years in HPC or storage software development, visible Lustre open-source contributions, cloud Lustre deployments, adjacent systems such as Ceph or DAOS, RDMA, NVMe-oF, CXL, computational storage, AI/ML I/O workloads, and public technical presentations or publications.
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.