Hardware Design – AI Ecosystem Enabling Intern

Intel
Mexico, GuadalajaraPosted 28 April 2026

Job Description

Job Details: Job Description: In this position, you will 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. This role combines handson hardware engineering exposure with AI and datadriven techniques to improve design efficiency, analysis quality, and engineering decisionmaking. Assists in implementing and tuning models for performance and accuracy, applied research, and hardware/software integration. 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. 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. Qualifications: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Minimum qualifications are required for initial consideration for this position. Preferred qualifications, in addition to the minimum requirements, are considered a plus when identifying top candidates. The required skills would be obtained through a combination of industry-relevant job experience, internship experience, and/or schoolwork/classes/research. Minimum Qualifications: - Pursuing a Bachelor's, Master's degree in Electrical Engineering, Electronics, Computer Science, Mathematics, Physics, or related STEM field (at least 1 year remaining as an active student) - 3+ months of experience in data analysis, modeling, scripting or programming. - Medium to Advanced English level. Preferred Qualifications: - Programming in Python, MATLAB, scripting for analysis and post-processing of data - Platform hardware design - Electrical Circuits Knowledge - Ability to at least read and write technical English (spoken English would be a plus) A candidate who accepts an offer of employment in Mexico is required to present their own personal identification information and numbers for the following: Mexican Security Number (NSS), Tax Identification Number (RFC) and CURP identification number. Job Type: Student / Intern Shift: Shift 1 (Mexico) Primary Location: Mexico, Guadalajara Additional Locations: Business group: At the Data Center Group (DCG), we're committed to delivering exceptional products and delighting our customers. We offer both broad-market Xeon-based solutions and custom x86-based products, ensuring tailored innovation for diverse needs across general-purpose compute, web services, HPC, and AI-accelerated systems. Our charter encompasses defining business strategy and roadmaps, product management, developing ecosystems and business opportunities, delivering strong financial performance, and reinvigorating x86 leadership. Join us as we transform the data center segment through workload driven leadership products and close collaboration with our partners. Posting Statement: All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Position of Trust N/A Work Model for this Role This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to chang ... (truncated, view full listing at source)
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