Nilesh Dattani is a hardware engineer with 11 years of experience designing high-performance systems for data center AI/ML and HPC, currently working at NVIDIA after roles at AWS and Microsoft. He has deep expertise across schematic and layout, signal integrity, thermal and mechanical co-design, and FPGA RTL/verification from contributions at Intel’s DCG and earlier HPC work at Wipro. At Microsoft he drove Azure AI/ML hardware architecture, blending system-level thinking with hands-on board design and validation. Based in Kirkland, WA, he pairs a Masters in ECE with a practical track record of moving complex hardware from concept to silicon-ready designs. Colleagues know him for pragmatic cross-discipline collaboration—bridging hardware, materials, and systems—to accelerate deployable AI infrastructure.
11 years of coding experience
14 years of employment as a software developer
B.E Elecronics and Communication, B.E Elecronics and Communication at Visvesvaraya Technological University
Master of Science (MS) Electrical and Computer Engineering, Master of Science (MS) Electrical and Computer Engineering at Portland State University
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