Intel Labs in Mexico is seeking a motivated student to explore and implement cutting-edge applications of Large Language Models on Intel hardware, with a special emphasis on FPGA-based solutions and engineering knowledge graphs. As part of this internship, you will be part of a small Research and Development team, that path finds next-gen technologies to improve Intel's products.
This position is with Applied Pathfinding and Prototyping Lab (APPL), within Intel Labs, which is responsible for pathfinding and prototyping full FPGA based prototypes of various cutting-edge solutions for researching future directions for Intel products and their role in the overall computing system.
Your responsibilities will include but not limited to:
Minimum qualifications are required to be initially considered for this position.
The position is in Mexico, it is not eligible for employment-based visa/immigration sponsorship.
Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
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.
Student / Intern
Shift 1 (Mexico)
Mexico, Guadalajara
Intel Labs is the company's world-class, industry leading research organization, responsible for driving Intel's technology pipeline and creating new opportunities. The mission of Intel Labs is to deliver breakthrough technologies to fuel Intel's growth. This includes identifying and exploring compelling new technologies and high risk opportunities ahead of business unit investment and demonstrating first-to-market technologies and innovative new usages for computing technology. Intel Labs engages the leading thinkers in academia and industry in addition to partnering closely with Intel business units.
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.
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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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