Staff Software Engineer - Infrastructure Storage
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St) · Bellevue Office
CHECKED 2H AGO
Infrastructureremotestaff$314k–$465k
At a glance
Highlights
- Build foundational infrastructure powering advanced AI research and products.
- Set technical direction for storage architecture across petabyte-scale deployments.
- Optimize storage for checkpoint I/O and high-throughput dataset serving.
What they offer
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k plan with 2% company match (USA employees)
- Flexible paid time off plan
Ideal candidate
Seasoned storage leader who thrives owning petabyte-scale systems end-to-end and mentoring engineers. You care about high-performance AI infrastructure and turning complex distributed challenges into reliable foundations for research.
Requirements
- 10+ years in storage systems engineering, with 5+ years in a technical lead or Staff+ IC role
- Proven track record designing and operating multi-petabyte storage systems
- Experience with DPUs or SuperNICs for accelerated storage data paths, including GPUDirect Storage implementation
- Deep production experience with enterprise or HPC storage platforms: Vast Data, Weka, NetApp, or Lustre
- Experience deploying and operating Ceph-like service at scale (100PB+) in HPC or AI infrastructure environments
- Familiarity with emerging storage technologies such as CXL memory pooling, computational storage, or ZNS SSDs
- Experience contributing to or maintaining open-source storage projects (e.g., Ceph, DAOS, Lustre, MinIO)
- remote policy
- 4 days in office, work from home on Tuesdays
Lab profile
About Lambda Labs
The Superintelligence Cloud delivering GPU compute infrastructure for AI researchers and enterprises.
What they build
- GPU cloud infrastructure
- On-demand GPU instances
- Managed Kubernetes for AI workloads
Known for
- AI cloud infrastructure at scale
- HPC platform and hardware engineering
- Data center operations and networking
Key facts
- Serves tens of thousands of customers
- Offices in San Francisco, San Jose and Bellevue
- Data center in Quebec City, Canada