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

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:

• Conduct research on infrastructure and systems for large-scale models.
• Explore methods to improve efficiency, scalability, and reliability across areas such as training platforms, inference systems, compilers, and distributed systems.
• Design and prototype system components, algorithms, or frameworks.
• Collaborate with the team to advance research directions.

Requirements:

• Minimum Qualifications

• Currently pursuing a PhD 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++.

• Research or internship experience related to large-scale systems, inference optimization, compilers, or performance optimization.

• Preferred Qualifications

• Strong problem-solving and engineering skills.

• Ability to collaborate effectively in a research environment.