Intel Senior Director- AI Fabric Networking 

United States, California, Santa Clara 

570632118

About the Role

Senior Director of Engineering, AI Fabric and Networking

Minimum Qualifications

• Master of Science in Electrical/Computer Engineering or related field with 8+ years of experience
• 15+ years of silicon engineering experience.
  Experience in networking, high performance AI and HPC silicon development.
• Led silicon engineering teams in multiple disciplines across various companies.

Preferred Qualifications

• Experience in development and deployment of high performance on-chip fabric solutions in production silicon, and their associated PPA(power/performance/area)trade-offs.
• Solid understanding of Ethernet and AMBA protocols.
• Good understanding of various architectures for AI silicon.
• Expertise in chiplet-based multi-die (2.5D, 3D) silicon engineering including yield, performance, power and thermal trade-offs. Familiar with die-die connectivity protocols such as UCIe, HBI, BoW, UALink etc as well as rack scale connectivity solutions.
• Knowledgeable in multi-die packaging technologies and chiplet test strategies.

Experienced HireShift 1 (United States of America)US, California, Santa Clara
Position of TrustThis role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

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:

This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.