- Singapore-CapitaSky Singapore
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
- Design, develop, and deliver GPU/AI infrastructure platforms and tools
- Build core capabilities for GPU resource management, workload scheduling, distributed training, and inference
- Develop and improve the engineering infrastructure around mainstream AI frameworks and runtimes for LLM workloads
- Optimize GPU cluster performance, stability, and resource utilization
- Work closely with algorithm and business teams to solve AI workload engineering challenges and improve infrastructure efficiency
- Strong software engineering skills in **Python, Go, or C++
- Solid understanding of Linux, Docker, and Kubernetes
- Familiarity with GPU technologies such as **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 a plus
As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.
Peringatan Penting
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