Job Details:Job Description:The Platform Applications Engineering - Data Center - Student worker will be participating in new product development, creating competitive analysis from a technical perspective,
developing and presenting technical product training materials.
Behavioral traits:- Excellent communication skills.
Qualifications:Minimum Qualifications,You must possess the below minimum qualifications to be initially considered for this position:
- Candidate must be currently pursuing a Bachelor's, Master's or PhD in Electrical Engineering, Computer Sciences, Computer Engineering, System Engineering, or related STEM field.
- Advanced English level.
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:The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel's transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world.
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 TrustN/A
Work Model for this RoleThis 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. In certain circumstances the work model may change to accommodate business needs.