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

About the role

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. Qualifications Minimum Qualifications - Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field. - Strong programming skills and solid foundation in algorithms, data structures, and systems, proficient in Python or C/C++. - Experience with systems programming, distributed systems, compilers, or performance optimization through coursework, research, or projects. Preferred Qualifications - Experience with large-scale systems, parallel or distributed computing, or performance optimization. Familiarity with system design, debugging, and profiling tools. - Strong problem-solving ability and ability to work collaboratively in a technical environment.