9 hours ago
Santa Clara, CA, USAStaff+
Base Salary
$200k - $250k/yr
Responsibilities
- Design, develop, and debug LustreFS features, fixes, and enhancements across llite, MDS/MDT, OSS/OST, LDLM, and LNet.
- Investigate customer and scale-related defects, perform root-cause analysis, and implement maintainable fixes.
- Tune performance and improve failure analysis, reliability, observability, and serviceability for large-scale Lustre deployments.
- Collaborate with QE and support to reproduce issues, improve diagnostic data, and expand testing coverage.
- Participate in code and design reviews and validate fixes through targeted tests, failure injection, log analysis, and performance characterization.
- Document subsystem behavior, debugging approaches, failure patterns, runbooks, and operational best practices.
- Use AI-assisted tools to accelerate triage, debugging, code comprehension, documentation, and early-stage design.
- Mentor junior engineers and lead focused technical efforts within a subsystem.
Requirements
- 10+ years of experience in systems software, distributed systems, storage, Linux kernel, or filesystem engineering.
- Strong LustreFS development, support, or performance-engineering experience 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 or high-performance transports such as RDMA, InfiniBand, RoCE, or TCP-based storage networking.
- Ability to debug issues across client, server, network, and backend storage layers.
- Experience in HPC, AI infrastructure, or large-scale parallel storage environments is preferred.
- Preferred experience includes workload characterization and tuning, ZFS, ldiskfs, NVMe-backed storage, observability and performance tooling, test plans, reproducer frameworks, runbooks, diagnostic automation, and mentoring.
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.