Julie Amundson is a Principal AI Infrastructure Consultant with over two decades of experience building production ML and distributed systems across startups and hyperscale companies. She has led ML platform efforts at Netflix—accelerating model delivery with Metaflow and a frictionless Jupyter platform—and recently shaped GKE strategy and GPU/TPU accelerator orchestration at Google Cloud to support GenAI workloads. Julie excels at connecting infrastructure choices to the humans who use them, designing practical frameworks that respect real constraints like scarce accelerator capacity and tight time-to-model. Her background spans founding an AI startup that explored active inference algorithms to shipping Netflix streaming globally, giving her a rare mix of research curiosity, product instincts, and production-hardened engineering. Based in the Bay Area, she now advises organizations on scaling ML infrastructure and making open models easier to run in capacity-constrained environments.
11 years of coding experience
21 years of employment as a software developer
coursework for M.S. Computer Science, coursework for M.S. Computer Science at University of California, Davis
AA Liberal Arts, AA Liberal Arts at De Anza College
Contributions:4 commits, 5 PRs, 54 pushes in 6 months
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Julie Amundson - Senior Staff Software Engineer at Google