AI Tools Internship — Software Dev & Planning

Nokia

Lisboa

Híbrido

EUR 7800 - 10 000

Tempo parcial

há 13 horas
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Vantagens oferecidas por esta oferta de emprego

Hybrid working scheme

Resumo da oferta

Nokia is seeking a Trainee to join the Planning Tools SW Team in a 12-month internship based in Carnaxide, Portugal. You will work on AI-powered tools, assist in development and testing, and learn from experienced engineers in a hybrid environment.

The role targets candidates finishing their BSc or MSc in Telecommunications, Computer Science, or related fields, with strong algorithms interest and good communication. Start date tentative: November 2026.

Qualificações

  • Bachelor's degree in Computer Science or related field.
  • Strong interest in algorithms and data structures.
  • Experience with AI-powered tools like Cursor and Claude.
  • Excellent written and verbal communication.

Responsabilidades

  • Assist in the development and testing of software applications, with a focus on AI-powered tools.
  • Collaborate with senior developers to understand and implement best practices in software development.
  • Conduct thorough testing and debugging of code to ensure high-quality outputs.
  • Research and explore new AI technologies and their potential applications in software development.
  • Document and communicate your findings and progress effectively within the team.
  • Engage in knowledge-sharing sessions to enhance your understanding of software development principles.

Conhecimentos

Algorithms & data structures
AI tools
Communication skills
Team collaboration
Analytical thinking
Problem solving
Attention to detail

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

Cursor
Claude

Descrição da oferta de emprego

Nokia is seeking a Trainee to join the Planning Tools SW Team in a 12-month internship based in Carnaxide, Portugal. You will work on AI-powered tools, assist in development and testing, and learn from experienced engineers in a hybrid environment.

The role targets candidates finishing their BSc or MSc in Telecommunications, Computer Science, or related fields, with strong algorithms interest and good communication. Start date tentative: November 2026.

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