15 hours ago
Singapore, SingaporeMid Level
Responsibilities
- Design, develop, and deliver GPU and AI infrastructure platforms and tools.
- Build capabilities for GPU resource management, workload scheduling, distributed training, and inference.
- Develop and improve infrastructure around AI frameworks and runtimes for LLM workloads.
- Optimize GPU cluster performance, stability, and resource utilization.
- Collaborate with algorithm and business teams to solve AI workload engineering challenges and improve infrastructure efficiency.
Requirements
- Strong software engineering skills in Python, Go, or C++.
- Solid understanding of Linux, Docker, and Kubernetes.
- Familiarity with CUDA, NCCL, and RDMA.
- Experience with distributed systems or distributed computing.
- Experience with AI Coding, AI Agents, or AI-assisted software development.
- Experience in LLM training, inference, or GPU cluster infrastructure is preferred.
Categories
About Tencent
Tencent builds consumer internet platforms and digital content, best known for WeChat and QQ messaging/social apps, and operates payments, advertising, cloud, and enterprise services. Founded in 1998 and headquartered in Shenzhen, it is a public company listed in Hong Kong and a major global video game publisher and investor, including full ownership of Riot Games.