Dedalus Labs
Systems Engineer Summer 2027 Intern
New
5000 –10000 USD / monthUSATraineedistributed systemsnetworkingvirtualizationdebugging
Internship role focused on building and understanding distributed systems and infrastructure for AI agents.
Nice to have
- Coursework or research in operating systems, distributed systems, databases, or networking.
- Familiarity with Kubernetes or modern cloud infrastructure.
- Experience with virtualization, containers, or hypervisors.
- Understanding of distributed storage or consistency models.
- Open-source contributions.
- Hackathons, research, or ambitious personal infrastructure projects.
- Technical writing or systems blogs.
Other
- Please submit your application at: https://www.dedaluslabs.ai/careers?ashby_jid=6037de96-d9c7-418f-ad23-56bb327225a6
- Only candidates who filled out our form above will be considered.
- Dedalus Labs is an AI research neolab building infrastructure for AI agents.
- We’re building the persistent compute layer that powers the next generation of autonomous software. Our platform spans virtualization, distributed systems, storage, networking, orchestration, and runtime infrastructure for long-running AI agents.
- We’re looking for students who enjoy understanding computers all the way down.
- Think abstractions are useful because you understand what’s underneath them.
- Enjoy figuring out how operating systems, networks, and distributed systems actually work.
- Care about latency, throughput, memory usage, and system reliability.
- Like debugging difficult problems and learning from them.
- Think distributed systems are fun rather than frightening.
- Read systems blogs or papers because you’re genuinely interested.
- Build things outside of class simply because you enjoy it.
- Believe the best infrastructure disappears into the background.
- Are high agency and fiercely independent.
- Say how things ought to be built, then build them.
- Are a competitive teammate with a heart of gold.
- Are hungry to learn, improve, and reflect deeply on feedback.
- Go above and beyond in everything you do.
- Distributed infrastructure for AI agent workloads.
- Persistent compute and storage primitives.
- Virtualization and sandboxing systems.
- Scheduling, orchestration, and reliability infrastructure.
- Internal developer tooling and platforms.
- Production infrastructure that powers real developers and AI agents.
- You might find yourself working on problems like:
- Improving sandbox startup latency from seconds to milliseconds.
- Building components of a distributed storage layer for persistent agent state.
- Optimizing networking, storage, or runtime performance.
- Building internal tooling that makes deploying and operating agents dramatically simpler.
- Designing and implementing infrastructure that supports thousands of concurrent agent workloads.
- Investigating production issues and improving system reliability.
- Strong computer science fundamentals.
- Experience with Rust (preferred), Go, C/C++, or similar languages.
- Coursework, research, or personal projects involving operating systems, distributed systems, networking, or systems programming.
- Strong debugging and problem-solving skills.
- Excitement about learning difficult technical topics quickly.
- High agency, curiosity, and excellent engineering judgment.
- You know the difference between code that merely works and code that’s built to last.
- You care about elegant engineering, good abstractions, and understanding why systems behave the way they do.
- 12-week summer internship.
- In person in San Francisco.
- Housing support provided where applicable.
- Interns work on production systems alongside full-time engineers.
- High-performing interns may receive return offers for full-time positions.
- The first thing we look at is your GitHub.
- Show us things you’ve built. Personal projects. Research. Hackathons. Operating systems projects. Infrastructure tooling. Homelabs. Open-source contributions.
- We care far more about demonstrated curiosity and technical ability than your class year or prior internship experience.