Research Engineer - LLM Training Infrastructure - Seed Infra

Build and optimize large-scale LLM training infrastructure for distributed reinforcement learning and AI foundation models. Design efficient distributed training strategies (parallelism, compute/communication optimization, throughput scaling) and improve system reliability via fast checkpointing, fault tolerance, and failure diagnosis. Analyze bottlenecks in exascale training systems, optimize networking and GPU memory management, and translate research ideas into production-grade, real-world infrastructure.