Summary
Phil Brown is an AI systems engineer based in Menlo Park with 13 years of experience building and bringing large-scale machine intelligence systems to market. Currently at Meta, he previously led product, applications, and field engineering for Graphcore, translating cutting-edge IPU hardware and Poplar software into deployable, high-performance ML solutions. His background spans HPC and supercomputing roles at Cray and consultancies, giving him deep expertise in performance engineering, customer-facing technical leadership, and complex procurement wins for national weather and research centers. Early hands-on experience in Android development and a long-standing preference for Java, Kotlin and quality testing signal that he remains a pragmatic, code-first engineer despite senior go-to-market roles. He holds a PhD in Computational Chemistry from the University of Bristol, reflecting a strong research pedigree that informs his approach to system design and optimization. Colleagues describe him as someone who bridges hardware, software and customer success to lower the cost and increase the efficiency of production AI.
13 years of coding experience
7 years of employment as a software developer
PhD Computational Chemistry, PhD Computational Chemistry at University of Bristol