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.
9 years of coding experience
2 years of employment as a software developer
Master's Thesis, Computer Science, 10/10 with Honors, Master's Thesis, Computer Science, 10/10 with Honors at ETH Zurich
International Summer Program, International Business, 9.5/10, International Summer Program, International Business, 9.5/10 at ESADE Business & Law School
UPC Universitat Politècnica de Catalunya
Bachelor's Thesis, Electrical and Computer Engineering, 9.5/10, Bachelor's Thesis, Electrical and Computer Engineering, 9.5/10 at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at ETH Zürich
High School, Technology, Graduated with Honors, 9.2/10, High School, Technology, Graduated with Honors, 9.2/10 at Fundació Collserola: Frederic Mistral - Tècnic Eulàlia
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Albert Alcoz - Senior Performance Research Engineer at NVIDIA