Karthik Sangaiah is a silicon design engineer with 11 years of cross-disciplinary experience driving research-to-silicon solutions for high-performance computing and AI accelerators. At AMD he focuses on improving performance and efficiency of LLMs and AI workloads across GPU and accelerator stacks, translating architecturally informed research into production silicon. His background spans academic research on heterogeneous computing, network-on-chip and CMP simulation at Drexel (PhD), hands-on FPGA filter design, and early systems work at Lockheed Martin and ARM, giving him a rare blend of systems, hardware, and research fluency. Colleagues rely on him to bridge modeling, microarchitecture, and implementation trade-offs to meet demanding power/performance targets. Based in Seattle, he combines deep technical rigor with practical engineering delivery across the full AI hardware stack.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy, Computer Engineering, Doctor of Philosophy, Computer Engineering at Drexel University
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Karthik Sangaiah - SMTS Silicon Design Engineer at AMD