AI Systems and Solutions Engineering Intern

About This Role

• 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.