2026 - Networking - Intern

The IOAM Lab in Huawei Ireland Research Centre is seeking a highly motivated and talented intern to join our team and contribute to cutting-edge research in Autonomous Networking. This internship offers a unique opportunity to apply any of the following skills to solve real-world problems in IP network management: networking, graph, modelling, DSL creation/parsing, model transformation, Infrastructure as Code (IaC), AI assistant & Copilot, LLM on top of relational DBs, big data computation.

About the Role:

You will be working with the senior team members on researching and developing intelligent systems that can help with automating management and control of complex IP networks. This includes working on one or more of the following:

• Developing DSLs for computation, topologies and model mapping

• NetDevOps

• Developing Graph engines / processors

• Utilizing AI assistants for Defining Models, Computation and Model Mappings using the High-Level DSLs.

• Modelling and Building Digital Map of the network and its services

• Utilizing Infrastructure as a Code methods

Responsibilities:

• Research candidate approaches for the selected problems

• Prototype, test and debug

• Document your work and present findings to the team.

Qualifications:

• Currently pursuing a Bachelor's or Advanced degree in Computer Science, Information Science, or a related field.

• Strong interest in DSLs, NetDevOps, graph data, and AI assistants

• Familiarity with programming languages such as Python or Java.

• Basic understanding of networking concepts (TCP/IP, routing, switching).

• Experience with graph databases and query languages is a plus.

• Excellent problem-solving and analytical skills.

• Strong communication and teamwork skills.

Benefits:

• Gain hands-on experience in applying cutting-edge technologies to real-world problems.

• Work alongside experienced engineers and researchers in a collaborative environment.

• Develop valuable skills in networking, DSLs, modelling and graph data.

• Opportunity to contribute to innovative research with potential for publication.

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