Founding Engineer — ML Platforms Engineer
Cumulus Labs, San Francisco, California
About the job
About the role
Cumulus Labs builds the software that turns raw GPU capacity into fast, cheap, production AI. We're looking for an ML Platforms Engineer to help build and run the orchestration layer underneath our inference and agent products, the system that schedules workloads, allocates GPUs, and keeps a heterogeneous, multi-cloud fleet running at high utilization.
We care more about how you think than which languages are on your resume. Our stack today includes Go, Kubernetes, and Terraform, but we're looking for someone who can walk into any part of a production system, understand it, and make it better, not someone who only knows one toolchain.
What you'll do
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Build and extend our GPU orchestrator: scheduling, fractional allocation, live workload migration across GPUs with no downtime
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Design and evolve multi-tenant primitives: quotas, isolation, usage metering, a tenant-facing inference gateway
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Own observability for the fleet: metrics, logs, and traces at scale