The Datacenter Power and Performance Architecture group architects' products that deliver leadership performance and power efficiency for traditional Xeon as well as AI.
This team works hand in hand with other teams across Intel to deliver best-in-class performance and innovations across the XEON CPU and AI portfolio. The candidates will work closely with the team to define, study, and analyze innovative PnP features.
You will be responsible for, but not limited to:
Minimum Qualifications:
Preferred Qualifications:
Experienced Hire
Shift 1 (United States of America)
US, Oregon, Hillsboro
US, California, Santa Clara, US, Texas, Austin
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.
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.
N/A
Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
Annual Salary Range for jobs which could be performed in the US:
$186,070.00-$262,680.00
Salary range dependent on a number of factors including location and experience.
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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