I lead 150 engineers across Canada, Serbia & China, building GPU virtualization software for AMD's Instinct AI accelerators. I think about what's next...with urgency. I run on AI. And I believe we're in the middle of something exponential.
I'm a Senior Director at AMD, leading cloud GPU software development for the Instinct and MI-series AI accelerator line. My teams own the driver stack that enables GPU virtualization across KVM, Hyper-V, and VMware — the software layer that lets hyperscalers and enterprises partition and run the world's most powerful AI hardware reliably at cloud scale.
I lead 150 engineers across Canada, Serbia, and China. My job is to build the environment, direction, culture, and people that produce exceptional work — and to make sure every one of them is equipped to move as fast as the technology demands.
I graduated from the University of Waterloo in Computer Engineering. I think entrepreneurially. I believe the gap between where AI is today and where it's going in five years is the biggest opportunity of our professional lives — and I'm not willing to watch from the sideline.
Three countries, thirteen time zones, one direction. Leading at this scale means building the culture, the process, and the technical bar simultaneously — and making sure AI is embedded in how every team works.
KVM, Hyper-V, VMware. Each platform is a different world. Shipping reliable, performant GPU virtualization support across all three — for the most in-demand AI silicon on earth — requires zero margin for error.
GPU virtualization sits at the exact intersection of AI infrastructure, cloud economics, and semiconductor dominance. The next decade of computing is being built on this stack. Right now.
Leading a 150-person engineering organization across Canada, Serbia, and China, building GPU virtualization driver software for AMD's Instinct AI accelerator line. Accountable for KVM, Hyper-V, and VMware support enabling cloud providers to deploy and partition MI-series GPUs at scale. The foundational software layer for how the world consumes AI compute.
Progressed through AMD's leadership track building and scaling teams, driving platform strategy, and developing the operational muscle to manage distributed engineering organizations across multiple time zones, cultures, and technical domains.
One of the most rigorous engineering programs in North America, paired with a co-op model that means graduating with years of real industry experience. Developed the technical depth to understand what teams are building and the systems instinct to see how it all fits together.
This isn't a prediction. It's already happening. What it means for engineers, managers, and anyone who wants to still be relevant in five years.
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Read →The transition from engineer to leader asks you to derive satisfaction from completely different things. Most people underestimate how hard that identity shift actually is.
Read →I gave an autonomous AI agent access to my calendar, inbox, and daily workflow. This is what actually changed — and what it tells me about where we're going.
Read →
OpenClaw is an open-source autonomous AI agent, powered by Claude, running locally on my laptop. It manages my calendar, my inbox, my reminders, and my daily workflow — operating continuously, not just when I ask.
It's the closest thing to a chief of staff that technology has produced. I don't use AI as a search engine. I use it as infrastructure. This is what I mean when I say apply AI — actually integrate it into how you work, not how you search.
If you're building at the infrastructure layer, thinking seriously about AI adoption, or working on something that matters — I want to hear about it. Based in the Greater Toronto Area.
mario@filipas.com