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Distributed Systems Engineer

United States
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Dedalus Labs is building the persistent compute layer for AI agents, spanning distributed storage, virtualization, orchestration, networking, and scheduling. You will design and build distributed infrastructure for large-scale, multi-tenant AI agent workloads that remain reliable under real-world scale and fault tolerance constraints. Strong systems programming ability in Rust, Go, or C/C++, deep distributed systems knowledge, and experience with Kubernetes and cloud infrastructure are required.

Key Highlights
Build distributed infrastructure powering long-running autonomous AI agents
Work on distributed storage, scheduling, orchestration, and virtualization systems
In-person role in San Francisco with visa sponsorship and relocation support
GitHub portfolio of distributed systems work is the primary evaluation criterion
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
Design virtualization and isolation systems for secure multi-tenant execution
Optimize bottlenecks across networking, storage, scheduling, and runtime layers
Build infrastructure that makes operating AI agents dramatically simpler for developers
Technical Skills Required
Rust Distributed Systems Kubernetes
Benefits & Perks
Visa sponsorship
Relocation support
Competitive salary and meaningful equity
Meals and office benefits included
Nice to Have
Experience with distributed storage systems
Familiarity with consistency models, consensus algorithms, or replication protocols
Experience with virtualization, hypervisors, containers, or Firecracker
Kernel, operating systems, or low-level runtime experience
Experience operating infrastructure at production scale
Published systems research (NSDI, OSDI, SOSP, EuroSys, ATC, etc.)
Contributions to systems-focused open-source projects
Experience with performance engineering and systems optimization

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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