Full Linux machines in <50ms. Persistent runtime. Never sleep. Only pay for active compute. Backed by Y Combinator.
About the role
Think abstractions are most useful when you understand what is underneath them. Read kernel commits, infrastructure blogs, source code, or systems papers because you are genuinely curious.
More about this role
Dedalus Labs is an AI Neolab building the compute substrate for an agent-native economy. Our flagship product, Dedalus Machines, gives AI agents fast, persistent computers where they can run continuously, maintain state, and do production-grade work.
We are building a new compute primitive for long-running autonomous software. Our platform spans virtualization, distributed systems, storage, networking, scheduling, orchestration, and low-level runtime infrastructure. Every millisecond, syscall, and scheduling decision matters.
We are looking for systems engineers who want to understand computers all the way down and build infrastructure that feels simple, fast, and inevitable to the developers using it.
Think abstractions are most useful when you understand what is underneath them.
Care about latency, throughput, memory usage, correctness, and tail performance.
Enjoy debugging problems that take days to understand and minutes to fix.
Treat reliability and performance as product features.
Read kernel commits, infrastructure blogs, source code, or systems papers because you are genuinely curious.
Have informed opinions about operating systems, virtualization, networking, storage, or...
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