Dedalus Labs

Compute substrate for AI agents

Distributed Systems Engineer — Full Time

Main Office
Job type
Full-time
Role
Engineering, Full stack
Experience
Any (new grads ok)
Visa
US citizen/visa only
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Cathy Di
Cathy Di
Founder

About the role

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:

  • 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 optimization

  • Experience building infrastructure at scale

What We Look For

We look for people who combine strong technical ability with high agency, curiosity, and a commitment to building meaningful technology.

  • Strong technical foundation in computer science or related fields

  • Proactively identifies problems and drives solutions independently

  • Learns quickly and thrives in fast-paced environments

  • Collaborative, kind, and team-oriented

  • Willing to take ownership and do the work required to achieve results

  • Calm and resilient in ambiguous or high-pressure situations

  • Open-minded, creative, intellectually curious, and capable of critical thinking

  • Thoughtful perspectives on technology and its broader impact

Compensation & Benefits

  • Competitive salary + equity

  • Relocation support available

  • Meals and office benefits included

  • In-person in San Francisco

To apply, submit your resume, GitHub, personal website, research papers, or notable projects. We especially value candidates who have experience building ambitious technical systems.

About Dedalus Labs

Dedalus Labs is building the MCP gateway for the next generation of AI applications by unifying the fragmented AI agents ecosystem with a single drop-in API endpoint. We host and manage your MCP servers, allowing users to go from idea to production in a single click. Users can pick any model from any vendor, mix-and-match whatever tools they want from our MCP marketplace, and ship within minutes.

Dedalus Labs
Founded:2025
Batch:S25
Team Size:10
Status:
Active
Location:San Francisco
Founders
Cathy Di
Cathy Di
Founder
Windsor Nguyen
Windsor Nguyen
Co-Founder