Daniel Wilkinson
Distinguished Engineer, Machine Learning Architecture at Synopsys Inc
Dundry, England, United Kingdom
Summary
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Senior🎓
Top SchoolDaniel Wilkinson is a distinguished engineer specializing in machine learning architecture with over two decades of experience across semiconductors, SoC design, verification and system-level AI for both edge and data-center environments. He has led architecture and technology strategy at Graphcore and Imagination Technologies and now enables customers and product teams at Synopsys to align tooling and IP with evolving AI/HPC requirements. His background spans CPUs, GPUs, GPGPU, interconnects, advanced packaging, CXL and chiplets, and he has driven practical adoption of sparsity, compression and cache-coherent architectures. Equally comfortable in customer-facing roles and deep technical leadership, he has repeatedly translated research and IP into shipping silicon and systems. Based in the UK, he combines hands-on SoC design experience with a systems-level view that bridges silicon, firmware and software stacks — a useful advantage when optimizing whole-platform ML performance.
15 years of coding experience
24 years of employment as a software developer
MEng Microelectronics, MEng Microelectronics at The University of Manchester
Github Skills (29)
ethernet9
hal8
uart7
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clock7
audio-effect7
master-slave7
embedded6
audio6
i2c6
tcp5
pwm4
react4
gpio3
canopen3
Programming languages (1)
Github contributions (5)
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