NPI Engineering Intern (AI-Assisted Operations)

Nokia Pte Ltd; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

Nokia Pte Ltd's NPI Engineering Internship in Singapore invites you to contribute to cutting-edge access network projects. You will assist with lab operations, test-bed setup, data analysis, and script development, gaining hands-on experience with telecom networks, cloud-native systems, and AI-assisted workflows.

You are a Bachelor's or Master's student in data analytics, CS, telecommunications, or electrical engineering.

Qualifications

• Currently enrolled as a Bachelor's or Master's student in Data Analytics, Computer Science, Telecommunications, Electrical Engineering, or related disciplines.
• Practical working knowledge of Linux operating system.
• Basic understanding of AI concepts with ability to apply AI tools for data processing and simple auxiliary code generation.
• Foundational knowledge of computer and networking fundamentals.
• Strong logical thinking and attention to detail for data handling and lab documentation.
• Self-motivated with teamwork and communication skills.
• Available to commit at least 16 hours per week during internship.

Responsibilities

• Assist with lab operations and test-bed setup to ensure smooth workflows.
• Apply basic AI-assisted tools to enhance data processing, log parsing, and document organization.
• Collaborate with cross-functional team members to deliver engineering tasks.
• Analyze data and provide insights to support decision-making and process improvement.
• Develop scripts to automate tasks and improve efficiency.
• Maintain accurate and detailed lab documentation.
• Stay updated with AI advancements and their telecom applications.
• Support the team in exploring AI-assisted tools for various tasks.

Skills

Linux OS

AI basics

Data analysis

Scripting

Networking basics

Teamwork

Communication

Education

Bachelor's or Master's student

Tools

Docker

Kubernetes

Job description

As a NPI Engineering Intern, you will be an integral part of the FN New Product Introduction (NPI) Engineering team at Nokia. Your role will involve supporting the NPI team in their work on cutting-edge access network technologies. This includes assisting with lab operations, test-bed setup, data analysis, and script development. You will gain valuable hands‑on experience with real-world telecom networks, cloud‑native systems, and AI‑assisted engineering workflows.

• Apply basic AI‑assisted tools to enhance work efficiency, such as data cleansing, log parsing, document summarization, and auxiliary troubleshooting.
• Collaborate with cross‑functional team members to deliver assigned engineering tasks.
• Assist with lab operations and test‑bed setup, ensuring smooth and efficient workflow.
• Analyze data and provide insights to support decision‑making and process improvement.
• Develop scripts to automate tasks and improve overall efficiency.
• Maintain accurate and detailed lab documentation.
• Stay updated with the latest advancements in AI and its applications in the telecom industry.
• Support the team in exploring and implementing AI‑assisted tools for various engineering tasks.
• Contribute to a positive and collaborative team environment.

• Bachelor's or master's student majoring in Data Analytics, Computer Science, Telecommunications, Electrical Engineering, or related disciplines.
• Practical working knowledge of the Linux operating system.
• Basic understanding of AI concepts, with the ability to apply AI tools for data processing, log analysis, document organization, and simple auxiliary code generation.
• Foundational knowledge of computer and networking fundamentals.
• Strong logical thinking skills and attention to detail for data handling and lab documentation.
• Self‑motivated with excellent teamwork and communication skills.
• Ability to follow technical guidance and adapt to changing project requirements.
• Available to commit at least 16 hours per week throughout the internship period.
• Basic exposure to networking concepts (TCP/IP, Ethernet, routing & switching) is preferred.
• Familiarity with container concepts (Docker / Kubernetes) is an asset.