Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD)

Work on infrastructure powering AI foundation models, including distributed training, reinforcement learning frameworks, high-performance inference, and heterogeneous hardware compilation. Design and build scalable systems for training, evaluation, and inference; optimize distributed training across compute, memory, and communication; and improve reliability, efficiency, and observability for large-scale workloads. Develop evaluation and data-processing frameworks and co-design systems and algorithms to boost model performance.