Summary
Paul Golding is a seasoned AI and engineering executive with nine years in senior leadership roles and a multi-decade track record building product-led, AI-first platforms across edge, robotics, and enterprise domains. As VP of Edge and Enterprise AI at Analog Devices, he now combines agents, physical intelligence and LRMs to enable electro-physical reasoning on embedded systems while previously leading global teams across NPUs, perception, simulation and MLOps. He has repeatedly turned R&D into commercial advantage—creating IP-rich internal startups, multiple patents, and platform businesses from McLaren racing analytics to fintech and digital media solutions. Paul advises startups as Principal AI Mentor in Silicon Valley and has led large-scale AI deployments for governments and enterprises, blending pragmatic engineering with product strategy. Unusually, his background spans chipset-level DSP research through high-level generative systems, giving him rare fluency across silicon, systems and applied GenAI. Based in San Francisco, he calls himself a “Chief Amateur,” reflecting a curious, hands-on approach to learning and experimentation even at executive scale.
9 years of coding experience
25 years of employment as a software developer
AI Research, AI Research at University of California, Berkeley
BEng (Hons) - First Class Electronic Engineering, BEng (Hons) - First Class Electronic Engineering at University of Reading
3D VR Compression Techniques using Novel SIMD Silicon Chip for AI, 3D VR Compression Techniques using Novel SIMD Silicon Chip for AI at University of Southampton