Senior Storage Engineer
Lambda Labs · San Jose Office (Zanker) · San Jose Office (First St) · San Francisco Office (Fremont St) · Bellevue Office
Infrastructureremotesenior$250k–$370k
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
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