Distributed Systems Engineer @ Dedalus LabsYou might be a fit if you- Think distributed systems are one of computer science's most beautiful subjects.
- Care deeply about consistency, fault tolerance, and system correctness.
- Enjoy designing systems before writing them.
- Think latency, throughput, and reliability are all product features.
- Read systems papers because they're genuinely interesting.
- Have strong opinions about storage engines, consensus algorithms, scheduling, or distributed architecture.
- Believe simple systems are usually harder to build than complicated ones.
- Think every abstraction has a cost.
- Measure before optimizing, then optimize relentlessly.
- View infrastructure as a product for other engineers.
- 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.
What you'll build- Distributed infrastructure for large-scale AI agent workloads.
- Persistent compute and distributed storage systems.
- Scheduling and orchestration platforms.
- Virtualization and sandboxing infrastructure.
- Reliable multi-tenant cloud systems.
- Internal developer platforms and infrastructure tooling.
- Production systems operating under real-world scale, latency, and fault tolerance constraints.
Representative ProjectsYou might find yourself working on problems like:
- Designing distributed storage systems for persistent agent state.
- Building scheduling infrastructure that efficiently allocates compute across thousands of concurrent agents.
- Improving reliability and fault tolerance across distributed infrastructure.
- Designing virtualization and isolation systems for secure multi-tenant execution.
- Optimizing bottlenecks across networking, storage, scheduling, and runtime layers.
- Building infrastructure that makes operating AI agents dramatically simpler for developers.
What we look for- Strong systems programming ability in Rust (preferred), Go, C/C++, or similar languages.
- Deep understanding of distributed systems, operating systems, and concurrent programming.
- Experience building distributed systems in industry, research, or open source.
- Strong engineering judgment around performance, scalability, reliability, and debugging.
- Experience with Kubernetes and modern cloud infrastructure.
- Ability to design systems that remain reliable under production workloads.
- High agency and excellent engineering judgment.
Nice-to-have- Experience with distributed storage systems.
- Familiarity with consistency models, consensus algorithms, or replication protocols.
- Experience with virtualization, hypervisors, containers, or Firecracker.
- Kernel, operating systems, or low-level runtime experience.
- Experience operating infrastructure at production scale.
- Published systems research (NSDI, OSDI, SOSP, EuroSys, ATC, etc.).
- Contributions to systems-focused open-source projects.
- Experience with performance engineering and systems optimization.
TasteYou know the difference between a distributed system that works and one that continues working when everything goes wrong.
You care about elegant architecture, principled engineering tradeoffs, and building infrastructure that engineers trust.
Logistics- In person in San Francisco.
- We sponsor visas.
- Relocation support available.
- Competitive salary and meaningful equity.
- Meals and office benefits included.
TipsThe first thing we look at is your GitHub.
Show us distributed systems you've built. Open-source infrastructure. Research. Storage engines. Schedulers. Consensus implementations. Infrastructure you've operated in production. Technical writing.
We care far more about systems you've built than years on your résumé.
