
Job description
This role is responsible for the development, performance optimization, and engineering implementation of high-quality AI computing infrastructure for Tencent's overseas gaming business. The team is centered on the deployment needs of large language model (LLM) and reinforcement learning scenarios.
Specific responsibilities include distributed training engineering, compute scheduling optimization, end-to-end model engineering, and AI-driven engineering evolution.
The ideal candidate will have a solid understanding of distributed systems principles, proficiency in at least one of Python / C++ / Go, and hands-on experience engineering distributed training with DeepSpeed, Megatron-LM, or equivalent frameworks.
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Company

Tech, Software & IT Services • Entertainment • Media & Communications
Tencent is a global internet and technology leader headquartered in Shenzhen, China, that leverages its expansive ecosystem to deliver social networking, online gaming, e‑commerce, and digital media services to over a billion users worldwide. The company’s flagship platforms—WeChat and QQ—combine messaging, payments, and entertainment, creating a seamless experience that keeps people connected and engaged. Tencent also powers a robust cloud computing, advertising, and FinTech portfolio, enabling enterprises to accelerate digital transformation and business growth. By integrating cutting‑edge technology with a user‑centric philosophy, Tencent consistently enhances quality of life while maintaining a diversified portfolio that sets it apart in the competitive tech landscape.