Full Linux machines in <50ms. Persistent runtime. Never sleep. Only pay for active compute. Backed by Y Combinator.
About the role
We’re looking for engineers who enjoy designing systems that continue working long after individual machines fail. You know the difference between a distributed system that works and one that continues working when everything goes wrong.
What they're looking for
- Think distributed systems are one of computer science’s most beautiful subjects
- Care deeply about consistency, fault tolerance, and system correctness
- Enjoy designing systems before writing them
- Think latency, throughput, and reliability are all product features
- Read systems papers because they’re genuinely interesting
- Have strong opinions about storage engines, consensus algorithms, scheduling, or distributed architecture
More about this role
Dedalus Labs is an AI research neolab building infrastructure for AI agents.
We’re building the persistent compute layer that powers the next generation of autonomous software. Our platform spans distributed storage, virtualization, orchestration, networking, scheduling, and runtime infrastructure for long-running AI agents.
We’re looking for engineers who enjoy designing systems that continue working long after individual machines fail.
Think distributed systems are one of computer science’s most beautiful subjects.
Care deeply about consistency, fault tolerance, and system correctness.
Enjoy designing systems before writing them.
Think latency, throughput, and reliability are all product features.
Read systems papers because they’re genuinely interesting.
Have strong opinions about storage engines, consensus algorithms, scheduling, or distributed architecture.
Believe simple systems are usually harder to build than complicated ones.
Think every abstraction has a cost.
Measure before optimizing, then optimize relentlessly.
View infrastructure as a product for other engineers.
Are high agency and fiercely independent.
Say how things ought to be built, then build them.
Are a...
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