Skip to content
← Lambda Labs

Senior Software Engineer - Infrastructure Storage

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

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

At a glance

Highlights

  • Build scalable storage software for next-generation on-premise AI solutions.
  • Ensure petabytes of AI training data stay fast, performant and available.
  • Help forge the foundation of high-performance AI compute clusters.

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

Experienced storage engineer who thrives on building resilient, high-performance systems and debugging complex production issues. You care about performance, reliability, and partnering closely with hardware architects to power AI workloads.

Requirements

  • Bachelor's or Master's degree in Computer Science or 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 C, C++, Go, or Python
  • Deep understanding of file (NFS, SMB, Lustre), block (iSCSI, Fibre Channel), and object (S3, Swift) storage protocols
  • Experience with Linux kernel internals and system-level programming
  • Familiarity with Docker and Kubernetes and running production workloads in these environments
  • Familiarity with CI/CD and QA practices for distributed systems
remote policy
4 days in office per week, work from home on Tuesday

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 ↗

Posted · Last seen