{"id":2986029,"url":"https://alion.io/job/intel-ai-frameworks-engineer-intern-2","title":"AI Frameworks Engineer - Intern","company":{"id":35,"name":"Intel","domain":"intel.com","url":"https://alion.io/company/intel","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":88,"ghost_share":0.034,"stale_share":0.523,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-10-24T06:02:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Zapopan, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-24T03:51:18Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Job Details:\nJob Description:\nJoin Intel's AI Frameworks team in Guadalajara, Mexico as an intern and help optimize AI workloads using PyTorch Framework for current and next-generation Intel Xeon platforms.\nYou will work alongside experienced engineers on real-world AI performance and framework projects, contributing to PyTorch and its ecosystem while gaining hands-on experience with machine learning framework internals, model optimization, software performance analysis, and platform enablement.\nYour work will help improve the experience and performance of AI applications used by developers and customers worldwide.\nBusiness Group\nAs part of the Data Center Group (DCG), the PyTorch and AI Frameworks Ecosystem team focuses on developing cutting-edge solutions for artificial intelligence applications. This team is dedicated to enabling advancements in AI frameworks, tools, and systems that power the next generation of data center technologies and products.\nThrough collaboration, innovation, and a passion for technology, DCG supports Intel's broader mission to drive progress in high-performance computing and AI-powered solutions.\nResponsibilities will include but are not limited to:\nSupporting the enablement, profiling, debugging, and optimization of AI workloads and models running on Intel server platforms.\nContributing to PyTorch and ecosystem libraries, helping improve functionality, performance, and out-of-box experience on Intel hardware.\nInvestigating and resolving build, test, and runtime issues across Linux and Windows environments for specific AI models.\nCollaborating with engineers across Intel and with the open-source community through GitHub issues, code reviews, and upstream contributions.\nDocumenting technical findings and contributing to team knowledge sharing.\nThe ideal candidate should show the following behavioral traits:\nStrong analytical, and problem-solving skills.\nAdvanced English communication skills.\nWillingness to learn about new technologies.\nEffective communication and collaboration skills in multidisciplinary environments.\nQualifications:\nMinimum qualifications are required to be initially considered for this position .\nCurrently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related field (at least 1 year remaining as active student).\n6+ months of experience in:\nprogramming languages such as Python and C++.\nPyTorch Framework.\nMachine learning and deep learning concepts, algorithms, and methodologies.\nGit and collaborative software development practices.\nAI-assisted software development tools, including agentic AI solutions (such as Github Copilot, Claude Code).\n\nIntermediate to advanced English level.\nRequirements listed would be obtained through a combination of relevant industry job experience, internship experience, and/or schoolwork/classes/research.\nMust have unrestricted, permanent right to work in Mexico (this role is not eligible for visa or immigration sponsorship).\nPreferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.\nRelevant experience in working with optimization techniques and performance tuning for AI models.\nFamiliarity with hardware-software integration in AI systems.\nKnowledge of Git and collaborative software development practices\nJoin us in shaping the future of AI and make a meaningful impact through your work. Take the next step in your career with Intel, where innovation and growth are key.\nA 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:\nStudent / InternShift:\nShift 1 (Mexico)Primary Location:\nMexico, GuadalajaraAdditional Locations:\nPosting Statement:\nAll 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\nN/AWork Model for this Role\nThis 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.*\nADDITIONAL 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. 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