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.

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.