Gonzalo Álvarez is a seasoned infrastructure leader with 11+ years building and scaling cloud and HPC platforms, currently directing Infrastructure Platforms at General Motors to power services, validation, vehicle engineering, and AI. He previously led world-scale batch and scheduling platforms at Apple, combining capacity planning, workload analysis, and cross-team systems integration to meet relentless demand. His background uniquely blends deep academic research—a PhD in Computing Science focused on distributed systems, scheduling, and workflows—with hands-on product engineering from startups to telecom R&D. Gonzalo has applied ML and search techniques to make large scientific datasets accessible at Berkeley Lab and productionized scheduling and autoscaling work at Google. Fluent in both low-level systems and strategic planning, he emphasizes resource efficiency and reproducible simulation-driven decisions. An early classical musician turned engineer, he brings a creative, interdisciplinary approach to complex infrastructure problems.
11 years of coding experience
16 years of employment as a software developer
MSc. Engineering Computing, MSc. Engineering Computing at Universidad de Zaragoza
Violin and General Musical Knowledge, Violin and General Musical Knowledge at Conservatory of Music - Zaragoza
EMBA Business, EMBA Business at ESIC Business & Marketing School
Master Thesis Computer Engineering, Master Thesis Computer Engineering at Luleå University of Technology
Doctor of Philosophy (Ph.D.) Computing Science, Doctor of Philosophy (Ph.D.) Computing Science at Umeå University
Contributions:191 commits, 36 PRs, 139 pushes in 4 months
remote-executionpythonexecution
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Gonzalo Álvarez - Director Of Infrastructure at General Motors