Student Researcher (AI Foundation Model Infrastructure - Seed) - 2027 Start (BS/MS)

About the team The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models. Responsibilities - Contribute to infrastructure and systems for large-scale models. - Support development of efficient and scalable components across areas such as training platforms, inference systems, compilers, and distributed systems. - Implement and optimize system modules, tooling, or frameworks. - Collaborate with researchers and engineers to support research and system development.