Systems Engineer
About the role
Dedalus Labs is hiring a Systems Engineer to build and optimize the core hardware/software stack for their persistent computers for AI agents. The role spans control plane development (creating, scheduling, and managing Machines) and the Rust-based virtual machine monitor (VMM), with potential to specialize in one area or span both. Collaboration with the CTO and engineers, ownership from experimental concept through deployment and operation, and a focus on performance, reliability, and secure interfaces.
Responsibilities
- Build the control plane. Implement the APIs and services that create, schedule, and manage Machines. Reason about concurrency, resource ownership, durable state, and recovery. Make behavior understandable when a request is canceled, a process dies, or part of an operation fails.
- Improve the Rust VMM and runtime. Work on virtualization, guest memory, devices, and Linux I/O. Make machine startup, execution, snapshot, and recovery behavior correct and measurable.
- Find and remove performance costs. Profile startup and request latency, syscall overhead, allocation, scheduling, networking, and storage. Follow database and I/O costs when they explain the bottleneck. Build a small reproduction, establish a baseline, and measure changes under representative load and failure conditions.
- Design secure interfaces. Build services and communication paths with clear ownership and explicit trust boundaries. Experience with HTTP servers, interprocess communication, network protocols, and cross-privilege interactions. Identify and verify fixes for security problems.
Qualifications
- For control-plane work, strong service implementation in Go, Rust, or a comparable systems language. For VMM work, hands-on Rust and low-level systems experience. Ability to explain choices around types, memory, ownership, concurrency, and abstractions.
- Recent hands-on work you can explain; ability to learn, adapt, and ship; willingness to take feedback and iterate.
Skills
Benefits
- Relocation support available
- Visa sponsorship for exceptional talents
- Competitive salary, bonus, and meaningful equity
- Meals and office benefits included
About Dedalus Labs
Connect any LLM to any MCP tools and create complex agents in minutes.
Dedalus Labs is building Vercel for AI Agents. We host MCP servers on our cloud and handle the boring stuff like autoscaling and load balancing so users can go from idea to production in a single click. Our OpenAI-compatible SDK lets users orchestrate complex agentic workflows through one clean API. Route between any LLM provider, connect any MCP tools from our hosted marketplace, and ship in minutes.
More open roles at Dedalus Labs
- Software Engineer, Infrastructure & Performance3w agoSan Francisco
- Systems Engineer Intern1mo agoHybrid (San Francisco)
- Infrastructure Engineer Intern1mo agoHybrid (San Francisco) · Engineering