Distributed Systems Engineer

• 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 Projects

You 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.

Taste

You 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.

Tips

The 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.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.