Infrastructure Engineer Intern
Hybrid (San Francisco)$7.8k/mo - $8.7k/moInternPosted 1mo ago
About the role
Dedalus Labs builds persistent computers for AI agents. The internship focuses on improving development tools, fixes, and speed of the build/deploy workflows within existing systems, under mentorship from engineers.
Responsibilities
- Fix bugs and papercuts, simplify code, improve tests and tooling, and make focused speed improvements.
- Your project will have an agreed scope and completion criteria. The outcome should be usable by the team, with tests, documentation, and a clear account of its limitations.
- Work you might take on includes: build/test/deploy improvements, provisioning or developer-tooling workflows, small code changes with tests, diagnostics linking failed operations to logs/metrics.
Qualifications
- Completed a meaningful programming project in Go, Rust, C, C++, or a similar language.
- Experience with CI/CD, containers, Kubernetes, cloud infrastructure, networking, or infrastructure as code is useful.
- Ability to explain design and inspect behavior on Linux, investigate failures, and reproduce difficult bugs.
- Willingness to use AI coding tools and explain, test, and correct the resulting code.
Skills
Required:Programming in Go, Rust, C, or C++
Nice to have:CI/CDContainers / KubernetesInfrastructure as code / cloud
Benefits
- Meals and office benefits included.
Last updated Oct 14, 2026. Interested? Apply on the company site.

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.
artificial-intelligencedeveloper-toolsworkflow-automationdevops
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