Lambda
Staff Software Engineer - Infrastructure Storage
$314K–$465K
San Francisco Office (Fremont St) +2 · Hybrid · Staff · Full-time · Posted Oct 23, 2026
- Location
- San Francisco Office (Fremont St)
San Jose Office (First St)
Bellevue Office - Experience
- 10+ years in storage systems engineering; 5+ years in a technical lead or Staff+ IC role.
About the job
Leads the design, development, and operation of high-performance distributed storage software for large-scale AI infrastructure.
What you'll do
- Set storage architecture direction, lead technical reviews, mentor engineers, and coordinate cross-functional initiatives.
- Build and operate distributed storage systems across file, block, and object protocols, including performance optimization and production troubleshooting.
- Define storage reliability goals and evaluate emerging storage protocols and hardware for AI workloads.
What they ask for
- 10+ years in storage systems engineering, including 5+ years in a technical lead or Staff+ IC role.
- Production experience designing and operating multi-petabyte storage infrastructure in data center or cloud environments.
- Strong proficiency in C, C++, Rust, or Go, and hands-on experience implementing or maintaining at least two storage protocol types.
- Working knowledge of NVMe, NVMe-oF, RDMA (RoCE or InfiniBand), and DPUs.
Nice to have
- Experience with NVIDIA BlueField DPUs or SuperNICs, including GPUDirect Storage.
- Experience with enterprise or HPC storage platforms such as Vast Data, Weka, NetApp, or Lustre.
Pay
$314K – $465K USD base salary
Tools
C, C++, Rust, Go, NFS, SMB, Lustre, NVMe-oF
AI focus
Builds storage infrastructure and optimizes storage for AI workloads, including checkpoint I/O, high-throughput dataset serving, and latency-sensitive inference pipelines.
Model-written summary · the original posting is authoritative