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Senior Software Engineer - Infrastructure Storage

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

CHECKED 4H AGO

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

At a glance

Highlights

  • Build next-gen on-prem storage powering large-scale AI training and inference.
  • Ensure petabytes of AI data stay fast, performant and highly available.
  • Forge the foundation of high-performance AI clusters at massive scale.

What they offer

  • Cash & equity compensation
  • 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

Ideal candidate

Experienced distributed systems builder who thrives debugging complex production issues and collaborating with hardware architects to power AI workloads.

Requirements

  • Bachelor's or Master's degree in Computer Science or a 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
  • Strong programming skills in languages such as C, C++, Go, or Python
  • Deep understanding of storage protocols, including File: NFS, SMB, Lustre Block: iSCSI, Fibre Channel Object: S3, Swift
  • Experience with Linux kernel internals and system-level programming
  • Familiarity with containerization technologies like Docker and Kubernetes and running production workloads in these environments
  • Familiarity with CI/CD and QA practices for distributed systems development environments
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
More about Lambda Labs →
Apply on the lab’s site ↗