Jobs at Dedalus Labs, Inc.

Build the user interface for an AI-agent infrastructure platform. Responsibilities center on developing high-quality React and TypeScript applications, applying responsive and accessible design, optimizing core web vitals and bundling, and making informed decisions about rendering, streaming, loading states, and modern web technologies. The role values strong product taste, attention to detail, independence, rapid learning, and effective use of AI coding tools.

Design and build polished interfaces for AI-agent infrastructure across interaction design, visual design, and frontend engineering. Develop responsive, accessible, high-performance experiences; prototype modern browser interactions; translate ambiguous product concepts into production-quality software; and own meaningful projects from concept through refinement while incorporating rigorous feedback.

Build low-level infrastructure for persistent, autonomous AI agents, including virtualization, sandboxing, storage, scheduling, networking, runtime systems, recovery, and performance tooling. Responsibilities include designing production systems, debugging complex failures, optimizing latency and resource usage, and ensuring reliability, correctness, and secure multi-tenant isolation. The role requires end-to-end ownership, strong systems fundamentals, and collaboration in an in-person San Francisco environment.

Paid, full-time infrastructure engineering internship focused on distributed systems, persistent compute, storage, scheduling, orchestration, virtualization, networking, reliability, observability, and production AI-agent infrastructure. Interns will own and ship meaningful projects, write production-quality code and tests, investigate failures, and communicate architectural tradeoffs. The role is approximately three months, fully in person in San Francisco, with potential relocation and visa support depending on circumstances.

Design and build distributed infrastructure for large-scale AI agent workloads, including persistent compute, distributed storage, scheduling, orchestration, virtualization, sandboxing, networking, and runtime systems. The role focuses on consistency, fault tolerance, performance, scalability, reliability, and multi-tenant production infrastructure.

Paid, full-time Product Manager Intern supporting AI infrastructure and developer-tool products. Responsibilities include user research, product strategy, writing specifications, defining APIs and workflows, prioritizing improvements using feedback and usage data, coordinating with engineering, launching features, and improving onboarding, documentation, and developer experience. The role is based in San Francisco for approximately three months, with potential consideration for a full-time position.

Paid, full-time systems engineering internship building production infrastructure for long-running AI agents. Responsibilities include developing compute and runtime primitives, virtualization and sandboxing systems, persistent storage and recovery, schedulers, networking infrastructure, and performance tools. Interns will write production-quality systems software, debug complex failures, profile and optimize performance, investigate tradeoffs, and potentially contribute to virtualization, distributed systems, containers, or systems research projects.