Job Details:

Job Description: 

Do Something Wonderful!

Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow.

Who We Are

Come and join us. The Datacenter Power and Performance Architecture group architects' products that deliver leadership performance and power efficiency for traditional Xeon as well as AI. Looking for qualified candidates to fill 2025 internship/coop positions.

Who You Are

Your responsibilities include but are not limited to:

• Working 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 team to define, study, and analyze innovative PnP features.

• Responsibilities may be quite diverse of a technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job.

Qualifications:

You must possess the below minimum education requirements and minimum required qualifications to be initially considered for this position. Relevant experience can be obtained through schoolwork, classes, project work, internships, and/or military experience. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications

• Must be pursuing a MS or PhD degree in Electrical Engineering, Computer Engineering, Computer Science, or other science or engineering related field.

• 6 months experience with software or scripting programming languages such as C or C++, Python, Perl, etc.

• 6+ months coursework or project work experience dealing with one or more of the following areas: CPU architecture, performance modeling, simulation, power modeling, power/performance tradeoffs, data analysis.

Preferred Qualifications

• Experience in one or more of the following areas:

• power and performance data analysis; workload performance characterization, hardware performance counters and, or performance monitoring tools.

• Skills in Python coding

• Knowledge of Intel Architecture

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

US, Arizona, Phoenix, US, California, Folsom, US, California, Santa Clara, US, Texas, Austin

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 Trust

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:

https://jobs.intel.com/en/benefits

Annual Salary Range for jobs which could be performed in the US:

$63,000.00-$166,000.00

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.