System Architect and Design Engineer Intern

Santa Clara, California, United States| Hillsboro, Oregon, United States| Austin, Texas, United States| Washington, DC, United States| Folsom, California, United States| San Diego, California, United States| Atlanta, Georgia, United States| Hudson, Massachusetts, United States Job ID JR0264514 Job Category Intern/Student Work Mode Hybrid Experience Level Intern Full/Part Time Full Time

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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. Want to learn more? Visit our YouTube Channel or the links below!

Intel Foundry Services (IFS) is an independent foundry business that is established to meet our customers' unique product needs. With the first Open System Foundry model in the world, our combined offerings of wafer fabrication, advanced process, and packaging technology, chiplet, software, robust ecosystem, and assembly and test capabilities help our customers build their innovative silicon designs and deliver full end-to-end customizable products from Intel's secure, resilient, and sustainable source of supply.

As a System Architect and Design Engineer Intern, your responsibilities will include but not limited to:

Research, evaluate and develop a state-of-the-art machine learning hardware accelerator architecture and design.

Provide a comprehensive view of solutions and supporting pre- and post-silicon activities in multiple domains.

Lead systems innovations to advance model efficiency for both edge and cloud deployments.

Rigorous in-depth workload driven architecture exploration and design optimization using both IP level and system level simulation and emulation techniques. Impact and influence the artificial intelligence (AI) product roadmap and development based on profound comprehension of AI and ML algorithms, ML customer requirements, and ML software frameworks.

Collaborate with product and algorithm teams to analyze next generation requirements and opportunities and influences and guides research and academic collaboration in the space of AI and ML.

Perform activities related to platform research in ML, such as compute in memory, on-device learning, edge-cloud distributed learning, and quantum ML. Develops complex performance and power models using ML/AI techniques. Collect and analyze design performance and power data on pre and post-silicon platforms using simulation and emulation and by developing the enabling firmware, software, tools, and automation solutions.

Work closely with various teams including customer facing and architectural design teams to explore and validate the performance and power of the next generation of silicon products for Intel product teams and Intel foundry customers.

This is a Hybrid role that requires weekly on-site presence in our Santa Clara office. Ideally we would like to have this internship start in January 2025 or earlier.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. 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 Ph.D. degree in any STEM related field with 3+ months of knowledge or experience in the areas of computer architecture, digital design and ML/AI (like generative AI)

Preferred Qualifications:

Strong interest of the candidate' advisor to partner with Intel on foundational research that can lead to industrial impact is considered a plus factor in identifying top candidates.

Inside this Business Group

Intel Foundry is dedicated to transforming the global semiconductor industry by delivering cutting-edge silicon process and packaging technology leadership for the AI era. As stewards of Moore's Law, we innovate and foster collaboration within an extensive partner ecosystem to advance technologies and enable our customers to design leadership products. Our strategic investments in geographically diverse manufacturing capacities bolster the resilience of the semiconductor supply chain. Leveraging our technological prowess, expansive manufacturing scale, and a more sustainable supply chain, Intel Foundry empowers the world to deliver essential computing, server, mobile, networking, and automotive systems for the AI era. This position is part of the Foundry Services business unit within Intel Foundry, a customer-oriented service organization that is dedicated to the success of its customers with full P&L responsibilities. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments.

Other Locations

US, OR, Hillsboro; US, TX, Austin; US, DC, Washington; US, CA, Folsom; US, CA, San Diego; US, GA, Atlanta; US, MA, Hudson

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.

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 $63,000.00-$166,000.00
*Salary range dependent on a number of factors including location and experience

Working Model

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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Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”