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Distributed Systems Engineer — Full Time

Dedalus Labs - Main Office | OnSite

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Early From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

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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