Senior Software Engineer - Infrastructure Storage
Lambda· Data Center Business
Hybrid (San Francisco Office (Fremont St)), Hybrid (San Jose Office (First St)), Hybrid (Bellevue Office)$296k - $395kFull-timePosted 3mo ago
About the role
Senior Software Engineer to join Lambda's Storage team, developing and implementing storage software for next-generation on-premise solutions. Focus on distributed systems, file/block/object storage, and integration with NVMe and GPU-direct storage in a high-performance AI infrastructure.
Responsibilities
- Design, develop, and maintain software for storage systems, focusing on performance, scalability, and reliability.
- Implement and optimize storage protocol APIs for file (e.g., NFS, SMB), block (e.g., iSCSI, Fibre Channel), and object (e.g., S3) access.
- Develop distributed systems for managing and orchestrating storage resources across multiple storage solutions and redundant arrays.
- Collaborate with hardware and system architects to integrate software with various storage solutions, including NVMe and GPU-direct storage.
- Troubleshoot and debug complex issues in a production data center environment.
- Contribute to the full software development lifecycle, from requirements gathering and design to deployment and maintenance.
Qualifications
- Bachelor's or Master's degree in Computer Science or a related field.
Skills
Required:Software development for storage systemsDistributed systems programmingStorage protocolsProgramming languagesLinux kernel internals
Nice to have:ContainerizationCI/CD and QA for distributed systems
Benefits
- 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 that we all actually use
Last updated Oct 1, 2026. Interested? Apply on the company site.
About Lambda
The Superintelligence Cloud
The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.
AI trainingDeep learningGPU CloudInferenceNVIDIA GPUsliquid-ai-recruiting-targetsetter-30setter-30-2026-q1
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