Staff Software Engineer, RL Environments

Highlights

• Own the platform for building and running RL environments at scale.
• Design verifiers and reward signals that survive adversarial agents.
• Turn real applications into training worlds for frontier models.

Ideal candidate

A hands-on systems builder who thrives in ambiguity and cares about trustworthy training signals. You enjoy owning complex platforms end-to-end while aligning engineers and researchers.

Requirements

• 8+ years software engineering experience with strong fundamentals in distributed systems, system design, data structures and algorithms
• Strong Python skills with track record of shipping production software and comfort in TypeScript/React, Go, Rust or similar
• Deep experience with containerization and sandboxed execution including Docker, VMs, gVisor/Firecracker, Kubernetes or equivalent
• Experience building or operating high-throughput backend systems with orchestration, scheduling, queuing and data pipelines
• Hands-on experience building with LLMs including agent loops, tool calling, MCP or eval harnesses
• Demonstrated ability to own ambiguous problems end-to-end to a shipped system
• Excellent written and verbal communication with ability to align engineers, researchers and partners