Role DescriptionYou will build and operate the infrastructure behind long-horizon agent experiments, including environment VMs, storage-efficient snapshots and forks, orchestration for parallel agent fleets, shared workspaces, verifier workers, telemetry pipelines, deployment systems, and the operational tooling that lets researchers run thousands of experiments without thinking about the machinery underneath.
This is not conventional cloud plumbing. You will be building infrastructure that directly shapes the quality, speed, and reliability of Plato's research.
You Will Work On- Build and operate purpose-built infrastructure for RL rollouts, long-running agent tasks, and environment synthesis jobs.
- Scale environment VMs, snapshots, checkpointing, persistent sandboxes, and storage-efficient forks.
- Design orchestration systems for fleets of agents that crawl, synthesize, evaluate, debug, and rerun experiments.
- Build telemetry, logging, tracing, replay, and observability systems for thousands of concurrent agent sessions.
- Improve reliability, cold starts, uptime, cost efficiency, isolation, and developer experience across the infrastructure stack.
- Partner with research engineers to turn experimental workflows into repeatable, production-grade systems.
What We're Looking ForWe're looking for someone who is excited to work close to the metal of AI infrastructure and enjoys turning ambiguous research workflows into reliable systems.
You may be a strong fit if you:
- Have experience building or operating distributed systems, cloud infrastructure, orchestration platforms, or developer tooling.
- Are comfortable debugging across infrastructure, application, and research workflows.
- Care deeply about reliability, observability, isolation, and cost efficiency.
- Enjoy working with researchers and engineers to turn messy, fast-moving workflows into durable systems.
- Want to build infrastructure that is part of the core product, not just internal support tooling.
