Systems Engineer

What you’ll build

• Distributed infrastructure for large-scale agent workloads.
• Virtualization and sandboxing systems.
• Persistent compute and storage primitives.
• Scheduling, orchestration, and reliability systems.
• Runtime infrastructure for long-running AI agents.
• Internal developer platforms and tooling.
• Production systems operating under real-world scale, latency, and reliability constraints.

Representative Projects

• Building a distributed storage layer for persistent agent state.
• Improving sandbox startup latency from seconds to milliseconds.
• Designing scheduling systems that efficiently allocate compute across thousands of concurrent agents.
• Developing virtualization and isolation technologies for secure multi-tenant workloads.
• Profiling bottlenecks across networking, storage, scheduling, and runtime layers.
• Building developer infrastructure that makes deploying and operating AI agents dramatically simpler.

What we look for

• Fluency in Rust (preferred), Go, C/C++, or similar systems languages.
• Strong software engineering fundamentals.
• Good understanding of operating systems, distributed systems, or networking concepts.
• Ability to reason about performance, reliability, concurrency, and debugging.
• Comfortable navigating large systems with many moving parts.
• High agency and excellent engineering judgment.
• Strong communication and collaborative instincts.

Nice-to-have

• Experience with Kubernetes or modern cloud infrastructure.
• Experience building distributed systems in industry, research, or open source.
• Familiarity with distributed storage systems.
• Understanding of consistency models and consensus.
• Experience with virtualization, containers, hypervisors, or Firecracker.
• Kernel, operating systems, or low-level runtime experience.
• Contributions to systems-focused open source projects.
• Experience with performance engineering and systems optimization.
• Background in systems research, networking, databases, distributed computing, or related fields.
• Experience operating production infrastructure at scale.

Taste

• You know the difference between software that merely works and software that feels inevitable.
• You care about elegant abstractions, good engineering judgment, and building systems that other engineers love using.

Logistics

• In person in San Francisco.
• Relocation support available.
• We sponsor visas.
• Competitive salary and meaningful equity.
• Meals and office benefits included.

Tips

• The first thing we look at is your GitHub.
• Show us systems you’ve built.
• Open-source contributions.
• Research.
• Infrastructure projects.
• Kernel patches.
• Homelabs.
• Performance investigations.
• Technical writing.