Software Engineer II

Tencent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tencent Overseas IT seeks a skilled GPU/AI infrastructure engineer to design and deliver scalable platforms and tools enabling AI workloads across global operations.

You will optimize GPU clusters, advance resource management, and collaborate with AI researchers and product teams on distributed training and inference for LLM workloads.

Qualifications

• Strong software engineering skills in Python, Go, or C++.
• Solid understanding of Linux, Docker, and Kubernetes.
• Familiarity with GPU technologies 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.

Responsibilities

• 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 utilisation.
• Work closely with algorithm and business teams to solve AI workload engineering challenges and improve infrastructure efficiency.

Skills

Python

Go

C++

Distributed systems

AI Coding / AI Agents

Tools

Linux

Docker

Kubernetes

CUDA

NCCL

RDMA

Job description

About the Hiring Team

Tencent Overseas IT has the mission to empower Tencent’s rapid global growth with future ready, global IT platforms, applications and services. We are chartered to lead the Overseas IT strategy, architecture, roadmap and execution. Satisfying our internal/external customers and becoming a world class global IT team are our top aspirations.

What the Role Entails

• 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 utilisation

• Work closely with algorithm and business teams to solve AI workload engineering challenges and improve infrastructure efficiency

Who We Look For

• 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

Equal Employment Opportunity at Tencent

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.