Industry
AI基础设施GPU集群调度算法系统设计
Description
What the Role Entails - Design and implement high-performance orchestration systems to automate the deployment, scaling, and lifecycle management of large-scale model training and real-time inference services - Develop scheduling algorithms to optimize the utilization of global GPU/CPU clusters. Focus on improving resource allocation efficiency and managing the complexities of heterogeneous hardware - Participate in development of training-related requirements (incremental training and API for …
Requirements
Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Engineering, or a related field.
Strong programming skills in Python, C++, or Go.
Familiarity with distributed systems, cloud computing, and containerization technologies (e.g., Docker, Kubernetes).
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Office Hours: Mon-Fri 9:00-18:00
Position Info
- Category
- internship
- Region
- asia-pacific
- Location
- 新加坡