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Senior Software Enginering - Mk8S/Control Plane

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

Infrastructureremotesenior$230k–$346k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build managed Kubernetes purpose-built for AI training and inference at scale.
  • Design control plane services powering mission-critical workloads globally.
  • Enable AI breakthroughs with massive-scale GPU clusters for next-gen models.

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

A systems-minded senior engineer who owns complex infrastructure end-to-end and thrives at the intersection of distributed systems and GPU computing to power AI workloads with simple, reliable platforms.

Requirements

  • 6+ years of experience in software engineering with track record owning significant technical scope from design through production
  • Deep understanding of Kubernetes internals including controllers, schedulers, operators, CRDs, CSI, CNI and extension patterns
  • Solid grasp of distributed systems fundamentals including fault tolerance and graceful degradation at scale
  • Experience operating control plane and low-level components of large-scale Kubernetes clusters
  • Experience with observability at scale including Prometheus, Grafana, distributed tracing and actionable alerting
  • Strong programming skills in Go and Python with ability to collaborate on shared codebases
  • Solid knowledge of Linux systems, networking, containers and cloud infrastructure
remote policy
Hybrid - 4 days in office per week, 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 ↗

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