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. In this role you will help us define our next-generation AI accelerator chips. As part of our architecture team, you will be helping with power modeling, performance modeling, and workload analysis. The work will be software engineering in Python or C++ with an eye towards understanding of computer systems and chip design. This is an excellent opportunity to be in a leading edge SoC architecture program.

Who We Are

If you are passionate about GPU for AI driven workloads and working with leading graphics engineers on Intel's latest GPU/CPU architectures, then our Datacenter GFX and AI Engineering (DGAI) Team has opportunities for you. Datacenter GFX and AI Engineering (DGAI) is responsible for delivering industry-leading system-on-chip (SoC) products for High Performance Computing (HPC). We strive to lead the industry through continuous innovation and world-class engineering.

In this position you will help us with the following responsibilities but not limited to:

• Create power and performance models for our next generation AI products.

• Analyze benchmark results to understand IP and system-level bottlenecks.

• Propose and implement changes in the modeling environment to improve both productivity and product performance.

• Investigate impact of cache hierarchies and interconnect architectures on system performance.

• Must have strong software engineering and communication skills.

Qualifications:

This position is not eligible for Intel sponsorship. You must possess the below minimum qualifications to be initially considered for this position.

Minimum Qualifications:

Candidate must be actively pursuing a master's degree in electrical/computer engineering, Computer Science, or related computing disciple and experience or coursework in the following:

• Programming in C/C++ and Python.

• Computer Architecture and Digital Logic.

          

Job Type:

Student / Intern

Shift:

Shift 1 (United States of America)

Primary Location: 

US, California, Folsom

Additional Locations:

US, California, Santa Clara

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://www.intel.com/content/www/us/en/jobs/benefits.html

Annual Salary Range for jobs which could be performed in

US, California:$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. In certain circumstances the work model may change to accommodate business needs.