System Architect And Design Engineer Intern

Job Description

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us as a System Architect and Design Engineer Intern at SAG (System Architecture and Design Group) and build on our legacy of innovation and collaboration as we deliver world-changing technology that improves the life of every person on the planet.

Embark on an exciting career in Silicon Architecture at Intel, where your academic background will be put to the test in addressing complex engineering challenges. As an early career professional, you will delve into the core of Silicon HW Engineering, enhancing your skills in areas such as Architecture, Enablement, Manufacturing & Product Development, and a spectrum of Validation and Design fields, including Analog & Electrical, Debug, Functional, Power & Performance, Layout, Logic, Photonics, TFM, and more. Your role may also involve pioneering work with AI, especially in the realm of Graphics for Silicon Hardware.

In this role, your responsibilities will include (but are 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.
• Develop 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.

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.

As you consider the exciting opportunity to join Intel, we want to ensure you are aware that you may receive support for your transition through available relocation benefits. Eligibility for these benefits depends on factors such as the current location and the specifics of the job role.

Note: Job location and modality of work will be communicated at time of offer.

Additional Information: This application is for a 2025 start date. You must be available to start work during this time frame.

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, 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.