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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
Apply on the lab’s site ↗

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
More about Lambda Labs →
Apply on the lab’s site ↗