Taylor Lloyd
Summary
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SeniorTaylor Lloyd is a results-driven software engineer specializing in heterogeneous and GPU computing, mobile and distributed systems, with a knack for turning complex problems into real-world value. He is currently a Member Of Technical Staff at Anthropic, where he optimizes model performance across a variety of compute accelerators. Previously at Cruise as a Staff Software Engineer on the ML Accelerators team, he built GPU-accelerated libraries for Cruise’s custom silicon and led efforts on performance portability for real-time autonomous vehicle workloads. His career also spans Google, Amazon, and IBM Canada, with work ranging from OpenMP/CUDA optimization and compiler/toolchain design to embedded image processing and cloud-based big-data tooling. Based in Seattle, Washington, he thrives as a natural leader who excels in tightly-knit teams and enjoys building developer-empowering tools such as automated testing systems and compiler toolchains. He holds a BSc and MSc in Computing Science from the University of Alberta, underscoring a strong academic foundation in parallel computing and compiler research.
11 years of coding experienceGithub contributions (5)
taylorlloyd/dotfiles
Feb 2017 - Apr 2023
Contributions:9 pushes in 6 years 2 months
taylorlloyd/Resume
Sep 2016 - Nov 2017
Contributions:10 commits, 13 pushes, 1 branch in 1 year 2 months
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