Staff Software Engineer - Infrastructure Storage
Lambda Labs · San Francisco Office (Fremont St) · San Jose Office (First St) · Bellevue Office
InfrastructureremoteStaff$314k–$465k
At a glance
Highlights
- Build petabyte-scale storage powering advanced AI training and inference.
- Forge the foundation of high-performance AI clusters at massive scale.
- Optimize solutions for checkpoint I/O and high-throughput dataset serving.
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 storage systems leader with 10+ years experience who thrives on technical ownership and cross-functional collaboration. Passionate about high-performance AI infrastructure and mentoring engineers to solve complex distributed systems challenges.
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
- 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 environment
- 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
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