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Senior Storage Engineer

Lambda Labs · San Jose Office (Zanker) · San Jose Office (First St) · San Francisco Office (Fremont St) · Bellevue Office

Infrastructureremotesenior$250k–$370k
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At a glance

Highlights

  • Design validation plans for new storage tiers powering AI training and inference.
  • Build high-performance clusters interconnecting systems for distributed AI workloads.
  • Shape standards and monitoring frameworks to scale multi-petabyte storage operations.

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)
  • Flexible paid time off plan

Ideal candidate

A seasoned infrastructure builder who thrives owning large-scale storage, sweats performance and reliability, and enjoys mentoring engineers while partnering across vendors and customers.

Requirements

  • 8+ years designing, building, and operating large-scale multi-petabyte storage production environments
  • Familiarity with storage solutions such as Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
  • Experience with file, block, and object storage types
  • Experience with NFS, SMB, and POSIX-compliant access protocols
  • Experience with NVMe over Fabric: NVMe/TCP, NVMe/IB, or NVMe/RoCE
  • Knowledge of storage performance via RDMA, GPUDirect Storage, parallel file systems
  • Knowledge of encryption, storage security, and multi-tenancy strategies
  • Knowledge of storage data-reduction and compression
  • Knowledge of data protection, backup strategies, and disaster recovery
  • 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible)
remote policy
Hybrid - 4 days in office per week, Tuesday work from home

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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