manager operations IT Manager management 7+ yrs · Posted Mar 6, 2026

About this role

AMD is hiring a manager-level IT Manager in the operations function based in Santa Clara, CA. The posting calls out experience with AWS, GCP, Azure, Deep Learning and roughly 7+ years of relevant work.

Role
IT Manager
Function
operations
Level
manager
Track
Management
Location
Santa Clara, CA
Experience
7+ years
Department
Engineering
Posted
Mar 6, 2026
AI Summary
Lead product strategy and execution for AMD's network infrastructure products, focusing on GPU cluster support for AI/ML/HPC workloads. Requires strong networking background, cloud platform experience (AWS/GCP/Azure), and proven ability to manage large-scale projects from concept through deployment.

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Job description

from AMD careers


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  




The Role:

We are seeking a highly skilled Product Manager in our Technical Product Management team to lead the strategy, development, and execution of our network infrastructure products. This role is crucial in designing, developing, and managing scalable, high-performance networks, with an emphasis on supporting GPU clusters for advanced computing applications. The ideal candidate will have a strong background in networking technologies, experience with high-bandwidth, low-latency environments, and a deep understanding of how networks support distributed GPU clusters for AI, ML, and HPC workloads.

 

The Person:

This is an excerpt. Read the full job description on AMD careers →
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