Derek Lockhart
Computer Architect at Google DeepMind
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolDerek Lockhart is a computer architect with 14 years of experience designing hardware-software systems for large-scale AI, currently shaping next-generation accelerators at Google DeepMind. His career at Google spans roles from early TPU and Edge TPU development to leading silicon work on TPU v2 through v5 families and novel inference/VCU/IPU platforms, blending chip design, Python-driven tooling, and system-level optimization. Trained in computer engineering (Cal Poly) with graduate work at Cornell, he bridges rigorous academic foundations with production silicon for ML workloads. Notably, he has oscillated between hands-on silicon implementation and architecture-level strategy, giving him a rare fluency across transistor-to-training-stack concerns. Based in Mountain View, he brings a pragmatic, cross-disciplinary approach to accelerating AI compute.
13 years of coding experience
8 years of employment as a software developer
MS/PhD Electrical and Computer Engineering, MS/PhD Electrical and Computer Engineering at Cornell University Graduate SchoolCalifornia Polytechnic State University, San Luis Obispo
Github Skills (14)
python10
modeling10
hardware10
simulator9
simulation9
verilog9
pipeline8
synthesis7
xls6
compiler5
open-source5
debug4
debugging4
lldb3
Programming languages (3)
Github contributions (5)
cornell-brg/pymtl
Jun 2012 - Jun 2015
Python-based hardware modeling framework
Contributions:1442 commits, 2 PRs, 132 pushes in 3 years
modelingpythonhardware
dmlockhart/rpython-experiments
Sep 2014 - Apr 2015
Contributions:3 commits, 1 push, 1 branch in 7 months
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