Teams at Ineffable Intelligence

Build and maintain scalable simulated environments for reinforcement-learning agents. Design engineering foundations, translate research blueprints into reliable worlds, support rapid experimentation, and scale simulations using advanced hardware. The role involves large-scale distributed systems, physics engines, GPU-accelerated simulation, efficient GPU code, and collaboration with researchers and designers.

Own and design the platform infrastructure for large-scale RL research: manage Kubernetes clusters, schedule GPUs at scale, improve resilience, run cloud infrastructure (GCP), implement observability, and build developer environments and tooling with Python and Rust.