David Lacey
Staff Software Engineer at Google DeepMind
United Kingdom
Summary
👤
Senior🎓
Top SchoolDavid Lacey is a Staff Software Engineer with over a decade of experience building high-performance systems for AI/ML research and novel hardware platforms. He has led software architecture and customer engineering at Graphcore—shaping ML framework backends, tooling and reference stacks—and now works on infrastructure for DeepMind’s research. His background spans compiler and toolchain development, parallel programming, math libraries, embedded and audio processing, and he has a rare combination of academic rigour (PhD in Computer Science) and hands-on production troubleshooting. David is experienced growing and mentoring large, distributed teams and has a track record of translating silicon and system architecture constraints into practical, high-performance software. Notably, he founded Graphcore’s external engagement programs to accelerate low-level research use cases, reflecting both technical depth and a collaborative, ecosystem-building mindset.
10 years of coding experience
19 years of employment as a software developer
Msc, Artificial Intelligence, Msc, Artificial Intelligence at The University of EdinburghBA, Mathematics and Philosophy, BA, Mathematics and Philosophy at University of Oxford
Github Skills (12)
deep-learning10
ai10
deep-neural-networks9
machine-learning9
ipu7
artificial-intelligence7
popart6
tensorflow5
caffe5
ml4
boost3
onnx3
Programming languages (4)
Github contributions (5)
graphcore/poplibs
Jun 2016 - May 2019
Poplar libraries
Contributions:246 commits in 2 years 11 months
aideep-learningdeep-neural-networkspoplar-sdk
graphcore/examples
Nov 2019 - May 2020
Example code and applications for machine learning on Graphcore IPUs
Contributions:7 commits, 1 PR, 10 pushes in 5 months
machine-learningdeep-learninggraphcore
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