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 was a prediction. Now it's happening. What it means for engineers, teams, and companies who want to still be relevant next year. A call to action.
Read →Don't miss this one. How agentic AI is shifting from a chatbot you talk to into infrastructure that works for you. Are you positioned for this shift?
Read →You are not just a programmer. You don't simply translate from human language to computer language. You are an engineer.
Read →AI is compounding risk at exponential levels. Invest in your test infrastructure with urgency. The age of software abundance demands it.
Read →Standard power law trackers show where price sits in the channel today. These two indicators ask a different question: how much weighted history of deviation has accumulated, and what does that imply for future price.
Read →AI is coming for every profession. It's time for everyone to begin thinking about what matters most in their job roles.
Read →The biggest drag on leadership is waiting on information. AI is about to remove the wait entirely with the speed of insight.
Read →Distributed leadership isn't a logistics problem - it's a clarity problem. What actually works when your team's working day starts 12 hours apart.
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. (coming soon)
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