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Distributed Systems Engineer

United States
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Design and build distributed infrastructure for large-scale AI agent workloads. Develop persistent compute and distributed storage systems, scheduling and orchestration platforms, and virtualization and sandboxing infrastructure. Collaborate with a team of engineers to create reliable multi-tenant cloud systems.

Key Highlights
Design and build distributed infrastructure for large-scale AI agent workloads
Develop persistent compute and distributed storage systems
Collaborate with a team of engineers to create reliable multi-tenant cloud systems
Key Responsibilities
Design distributed storage systems for persistent agent state
Build scheduling infrastructure that efficiently allocates compute across thousands of concurrent agents
Improve reliability and fault tolerance across distributed infrastructure
Technical Skills Required
Rust Distributed systems Operating systems
Benefits & Perks
Competitive salary
Meaningful equity
Relocation support
Nice to Have
Experience with distributed storage systems
Familiarity with consistency models, consensus algorithms, or replication protocols

Job Description

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.
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