Software Development Intern

Intel Intel · Semiconductors · Guadalajara, Mexico

Software Development Intern role focused on AI-enhanced requirements engineering within Intel's Data Center Requirements team. The intern will contribute to intelligent automation, ML-driven data analysis, and AI-powered tool creation, leveraging web development, scripting, database, and data structure skills. The role emphasizes learning software development methodologies, debugging, automation, and data analysis.

What you'd actually do

  1. Maintaining SLA in the current web environment while also delivering high quality new features on customer requests.
  2. Development and customization of existing software tools and methods.
  3. Power BI development with a focus on user experience and quick, clear access to relevant information
  4. Designing creative solutions to issues and feature requests.
  5. Bug fixing and responding to user issues.

Skills

Required

  • Web design and development (front-end/back-end)
  • Programming/scripting languages such as Python
  • Working with Git for source control
  • Data concepts (data architecture, data modeling, and data engineering)
  • Advanced English level
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (at least 1 year remaining before graduation)

Nice to have

  • Experience developing interface applications using Vue.js and the surrounding ecosystem (Nuxt)
  • Familiarity with Angular framework
  • Proficiency in Python programming
  • Experience working with JavaScript/Typescript
  • Exposure to Power BI or similar business intelligence tools
  • Understanding of RESTful APIs and experience consuming them in projects
  • Familiarity with Django web framework
  • Interested in data visualization and dashboard development with focus on usability and performance.
  • Troubleshooting skills to diagnose technical issues independently.

What the JD emphasized

  • AI-enhanced requirements engineering
  • artificial intelligence and machine learning technologies
  • intelligent automation development
  • machine learning-driven data analysis
  • AI-powered tools