Cloud Reliability Specialist (Mandarin Speaking) - Intern

About Huawei

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.

At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions.

About the IRC

Huawei Ireland Research Centre (IRC) mission is to position Huawei as a recognized technology leader and a global provider of information and communications technology (ICT) solutions. To achieve this we are building an industry-recognized multi-discipline Research Centre of experts with focus on medium-term to long-term issues. The IRC will work closely with an open innovative ecosystem with Huawei customers to address real-world issues. The IRC will also engage with key European universities to build a basic research capability to support Huawei technical projects.

Job Overview

We are looking for a Mandarin-speaking specialist to support our technical teams on cloud reliability. He/she will contribute to one of the technical areas the lab currently is working on, e.g. Fault Localization Agent design and development. Meanwhile, he/she will also assist by researching relevant topics and translating complex technical concepts into clear, concise documentation. In this role, the specialist will conduct research, analyze publicly available information, and collaborate with technical experts to produce source code, reports, presentations, and other technical documentation.

Key Responsibilities

• Contribute to one of the key technical areas—such as AIOps/LLM for SRE, Cloud Observability, formal method verification, and reliable hardware—to help businesses overcome their challenges.



• Collaborate with the technical team to understand their needs and provide insights based on publicly available information.



• Conduct technical writing and research to prepare documents, including reports, presentations, and technical summaries, in both Chinese and English.



• Assist technical experts in analyzing insights and summarizing research papers and articles.

Qualifications

• Master's degree or higher in Communications, Computer Science, or a related field.



• Familiarity with key technology areas such as software, cloud computing, AI, semiconductors, and other emerging technologies, with an understanding of industry dynamics.



• Strong analytical skills, with the ability to explore, organize, and synthesize technical information.



• Strong technical writing, report creation, and presentation skills.

Project Examples

1. Explainable multivariant anomaly detection

Many existing multivariate anomaly detection solutions lack explainability, making fault localization challenging—especially since SRE engineers may distrust black-box outputs. Inspired by GNNs/GCNs, we designed and developed graph-based algorithms to detect anomalies across cloud infrastructure, including physical/virtual hardware and microservice layers. Our solution delivers reliable performance while maintaining resource efficiency, even in production environments.

2. AI Agent for fault management

Fault management remains a significant challenge for Site Reliability Engineers (SREs). AI agents present a promising solution to streamline this process and reduce manual effort. Currently, we are investigating and developing a series of specialized agents—such as detection and localization agents—for specific use cases, built on our agent platform. This work will help to build knowledge and experience on state-of-the-art AI technologies on LLM and causal analysis, such as intent understanding and COT(chain-of-though).

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