Hardware Design – AI Ecosystem Enabling Intern (AI)

TL;DR

Hardware Design – AI Ecosystem Enabling Intern (AI Engineering): Contributing to the design and optimization of AI ecosystem solutions for hardware engineering domains with an accent on algorithms, frameworks, and AI software architectures. Focus on implementing data-driven techniques to improve design efficiency and engineering decision-making.

Location: Hybrid in Guadalajara, Mexico. Candidates must be able to provide Mexican identification (NSS, RFC, and CURP).

Company

hirify.global's Data Center Group (DCG) delivers Xeon-based solutions and custom x86 products for general-purpose compute, HPC, and AI-accelerated systems.

What you will do

• Develop and optimize AI ecosystem solutions, including algorithms and frameworks, for hardware engineering domains.
• Apply AI and data-driven techniques to enhance design efficiency, analysis quality, and decision-making.
• Implement and tune models for performance and accuracy.
• Collaborate with internal product teams and external partners to create AI software solutions.
• Assist in system-level deployment to enable scalable and efficient AI solutions.

Requirements

• Pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Science, Mathematics, Physics, or a related STEM field (at least 1 year remaining as an active student).
• Minimum 3+ months of experience in data analysis, modeling, scripting, or programming.
• English proficiency: Medium to Advanced level.
• Must be legally eligible to work in Mexico and provide personal identification (NSS, RFC, and CURP).

Nice to have

• Programming experience in Python or MATLAB for data analysis and post-processing.
• Knowledge of platform hardware design and electrical circuits.
• Ability to read and write technical English.

Culture & Benefits

• Hybrid work model allowing a split between on-site and off-site work.
• Mentorship-driven environment emphasizing "learning by doing".
• Opportunity to contribute to real engineering problems where AI augments engineering judgment.
• Commitment to ethical hiring practices and RBA compliance.