Albert Alcoz is a Senior Performance Research Engineer at NVIDIA with nine years of experience at the intersection of high-performance networking and AI infrastructure. He profiles and optimizes large-scale GPU clusters, focusing on collective communications, HCAs, and switches to squeeze out predictable performance for AI workloads. A PhD from ETH Zurich, his award-winning dissertation advanced in-network congestion management with practical security and performance implications, and he has hands-on experience deploying data-plane defenses and cloud egress fairness mechanisms from internships and visiting scholar roles. Albert blends deep research rigor with production-facing tooling and benchmarks, making him fluent in both theoretical networking and real-world performance engineering. Based in Zurich, he combines broad international research collaborations (Berkeley, Cloudflare, Georgia Tech) with the pragmatic goal of turning subtle network effects into measurable cluster gains.
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