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Distributed Systems Engineer — Full Time at Dedalus Labs - Main Office | OnSite - Distributed Systems Engineer — Full Time Main Office | OnSite Dedalus (YC S25) is hiring a full-time distributed systems engineer to help build the infrastructure layer powering the next generation of AI agents. We are building persistent compute infrastructure, cloud sandboxes, and developer tools for long-running AI agents. Our systems span virtualization, orchestration, storage, networking, and low-level runtime infrastructure. The role is based in San Francisco and involves working closely with a small, highly technical team operating at startup speed. WHAT YOU'LL WORK ON - Distributed systems infrastructure for large-scale agent workloads - Virtualization and sandboxing technologies - Persistent compute and storage systems - Scheduling, orchestration, and reliability engineering - Performance optimization across systems layers - Internal developer platforms and infrastructure tooling - Production systems operating under real-world scale and latency constraints REQUIREMENTS - Strong systems programming ability in Rust (preferred), Go, C/C++, or similar languages - Graduate-level knowledge of distributed systems and operating systems concepts - Experience building distributed systems in industry, research, or open source - Experience with Kubernetes and modern cloud infrastructure - Familiarity with one or more of the following: - distributed block storage - consistency models - virtualization and hypervisors - kernel or low-level systems architecture - Strong understanding of systems performance, reliability, and debugging NICE-TO-HAVE - Published systems research papers (NSDI, OSDI, SOSP, ATC, EuroSys, etc.) - Experience working on operating systems, kernels, or virtualization stacks - Contributions to open-source systems projects (Linux, Firecracker, Cloud Hypervisor, etc.) - Experience with low-level performance optimizatio

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