Job Details:

Job Description:

As an AI Systems and Solutions Engineering Intern, you will support the design and development of integrated Artificial Intelligence (AI) solutions that combine software, hardware awareness, and system level concepts. You will work alongside experienced engineers to learn how AI solutions are built across the technology stack, from models and software frameworks to platform and system considerations. This internship provides hands on exposure to AI systems development, customer driven requirements, and real world implementation challenges, helping you build foundational skills while contributing to projects that support Intel's AI technology roadmap. Key Responsibilities • Assist in the development and integration of AI software solutions within larger system architectures • Support analysis of system level requirements, constraints, and performance considerations • Learn and apply AI fundamentals, including machine learning and deep learning concepts • Contribute to prototyping, testing, and validation of AI systems and components • Support collaboration across software, hardware, and platform engineering teams • Participate in documentation, technical reviews, and knowledge sharing • Gain exposure to customer use cases and how requirements influence AI system design Behavioral Traits • Strong curiosity and interest in AI systems, platforms, and emerging technologies • Willingness to learn and adapt in a fast paced technical environment • Collaborative mindset and openness to feedback and mentorship • Analytical thinking and problem solving approach • Attention to detail and commitment to quality • Motivation to grow technical and professional skills What You Will Learn • Fundamentals of AI systems design spanning software and platform considerations • How AI models and algorithms interact with system architectures • Basics of systems engineering, including requirements definition and validation • Exposure to hardware-software interaction in AI solutions • How AI product roadmaps are influenced by customer needs and technical constraints • Professional engineering practices within cross functional teams

Qualifications:

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
• Enrollment in a Bachelor's degree program in Computer Science, Engineering, or a related discipline
• Basic understanding of AI or machine learning concepts through coursework or projects
• Familiarity with at least one programming language (e.g., Python, C++, or similar)

• Mid to Advanced English level

Preferred Qualifications
• Coursework or academic projects related to AI, machine learning, or deep learning
• Exposure to systems concepts, computer architecture, or operating systems
• Experience with Linux environments, version control (Git), or basic scripting
• Interest in autonomous systems or AI platforms

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

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 change.

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ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.