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Senior Software Engineer - Storage Control Plane

Lambda Labs · San Francisco Office (Fremont St) · Bellevue Office

Infrastructureremotesenior$266k–$395k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build vendor-agnostic control plane that provisions and heals petabyte storage.
  • Own multi-tenant isolation, placement and observability for AI clusters.
  • Forge the foundation of high-performance AI training and inference clusters.

What they offer

  • Generous cash & equity compensation
  • Health, dental, and vision coverage for you and dependents
  • Wellness and commuter stipends for select roles
  • 401k plan with 2% company match (USA employees)
  • Flexible paid time off plan

Ideal candidate

Seasoned distributed systems builder who loves fast, reliable storage for AI workloads and thrives owning complex control planes end to end.

Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 5+ years of experience in software development for storage systems
  • Proven experience with distributed systems programming and concepts such as load balancers, data-durability, consensus algorithms, fault tolerance, and data consistency
  • Knowledge of data center networking and high-speed interconnects (e.g., InfiniBand, RoCE)
  • Experience with performance tuning and optimization of storage systems
  • Familiarity with hardware acceleration technologies, specifically GPUs and DPUs
  • Production experience with VAST Data, WEKA, DDN, Pure, NetApp, or IBM Storage Scale
  • Ceph at 100 PB+ in HPC or AI environments
remote policy
Work from home on Tuesday, in office 4 days per week

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 ↗

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