Hardware Design – AI Ecosystem Enabling Intern

Intel Intel · Semiconductors · Guadalajara, Mexico

This intern role focuses on the hardware engineering aspects of AI ecosystem solutions, involving algorithm and framework design, AI software architecture, and optimizing AI solutions for hardware performance. It combines hardware engineering with AI/ML techniques for design efficiency and analysis, including implementing and tuning models, applied research, and system-level deployment. The role emphasizes AI augmenting engineering judgment.

What you'd actually do

  1. contribute to the design, development, and optimization of AI ecosystem solutions, including algorithms, frameworks, and AI software architectures in hardware engineering domains, including system, board, package, thermal, and signal integrity engineering.
  2. This role combines handson hardware engineering exposure with AI and datadriven techniques to improve design efficiency, analysis quality, and engineering decisionmaking.
  3. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware/software integration.
  4. May also include creating AI software solutions in partnership with internal product teams and external partners, as well as system-level deployment to enable scalable, efficient AI solutions.
  5. The position is designed for students pursuing technical degrees and emphasizes learning by doing, mentorship, and contribution to real engineering problems where AI augments-not replaces-engineering judgment.

Skills

Required

  • data analysis
  • modeling
  • scripting
  • programming
  • Medium to Advanced English level

Nice to have

  • Python
  • MATLAB
  • Platform hardware design
  • Electrical Circuits Knowledge
  • Ability to at least read and write technical English

What the JD emphasized

  • AI augments-not replaces-engineering judgment

Other signals

  • AI augments engineering judgment
  • implementing and tuning models for performance and accuracy
  • hardware/software integration
  • creating AI software solutions
  • system-level deployment to enable scalable, efficient AI solutions