Qualifications

• 5-7 years of experience in building or operating distributed systems or cloud infrastructure.
• Proven background in developing orchestration platforms or developer tooling.
• Strong debugging skills across infrastructure and application workflows.
• Deep understanding of reliability, observability, isolation, and cost efficiency in system design.
• Ability to collaborate with researchers to convert ambiguous workflows into structured processes.

Responsibilities

• Build and operate purpose-built infrastructure for reinforcement learning applications.
• Scale environment virtual machines, snapshots, and storage-efficient forks.
• Design orchestration systems for agent fleets conducting extensive research experiments.
• Create telemetry, logging, and observability systems for concurrent agent sessions.
• Enhance reliability and developer experience across the infrastructure stack.
• Collaborate with research engineers to transition experimental workflows into production systems.

Benefits

• Opportunity to work at the intersection of AI research and infrastructure development.
• Collaborative environment with researchers to impact core product infrastructure.
• Chance to innovate and improve systems directly affecting research outcomes.
• Focus on building reliable and scalable systems with real-world applications.