Senior/Principle Research Engineer (Algorithms for Operation & Maintenance) - Permanent

About Huawei

Huawei’s products and services are available in more than 170 countries and are used by a third of the world’s population. Huawei Consumer Business Group (CBG) is one of Huawei’s three business units and covers smartphones, PC and tablets, wearables and cloud services, etc.

Huawei Mobile Services (HMS) is part of CBG and it develops new cloud services that are offered free of charge to Huawei mobile device users.

HMS ecosystem is now the third largest ecosystem in the world. As of September 2020, 96,000 global apps have integrated with HMS Core. HMS Apps continues to launch globally, with content apps such as HUAWEI Music, HUAWEI Video, HUAWEI Themes, HUAWEI Reader and HUAWEI Game Center taking center stage in various 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.

About the job

We are looking for a Senior/Principle Research Engineer to join our AIOps team in Dublin. This team is involved in the design and development of analytics solutions on observability, incident response, and change management for Huawei Cloud. He/she will play a key role in building an intelligent operations and management platform, e.g. self-optimization (eresource allocation) and self-healing (anomaly detection and fault localisation).

Responsibilities

• Work closely with researchers, engineers, and operational teams to understand challenges in cloud observability and change management. e.g. autonomous fault recovery and change risk remediation, and dive deep into the product and technical metrics, identify problem areas and build solutions to address them. 
• Contribute to the business plans and technical requirements and get those approved by technical and business stakeholders in the cloud ecosystem. 
• Apply machine learning, statistical learning, optimization and related algorithms to investigate, develop and maintain scalable and efficient solutions to tackle business challenges, such as optimize SRE solutions to lower cost and improve efficiency. 
• Encapsulate the analytics/optimization modules into workable research proof-of-concepts or/and production systems. 

Requirements

• PhD in a relevant field (such as Computer Science, Operations Research, Statistics, Applied Math, etc.). 
• Previous work experience (including internship) at cloud service providers on applying analytics and optimization techniques to clouds. 
• 5-7 years of experience in the DevOps, SRE or adjacent domains. 
• Excellent coding skills (e.g. Python or Java). 
• Experience in deploying open source solutions. 
• Good mathematics and statistics background. 
• Experience in SRE is a great plus. 
• Experience in foundation model fine tuning and AI agent development is a great plus. 

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http://career.huawei.com/reccampportal/portal/hrd/weu_rec_all.html