Principal Hardware Engineer - AI Infrastructure at Microsoft
Redmond, Washington, United States
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Summary
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Suman Gumma is a Principal Hardware Engineer at Microsoft with 11 years of experience building and scaling HPC/AI/GPU infrastructure for Azure, driving platform strategy from silicon-aligned definitions through NPI to hyperscale manufacturing. He leads quality, yield, and reliability efforts across 1P and 3P systems (MAIA, GB200/300, VR NVL72-class), integrating hardware, firmware, diagnostics, and data-center-level considerations to deliver energy-efficient, AI-native performance. Known for a systems-level approach, he embeds design-for-quality and telemetry-driven debugging early in the lifecycle to reduce failure modes and accelerate production readiness across global suppliers. His background spans telco and network systems (Affirmed, T-Mobile, Nexius), giving him deep expertise in networking, interconnects, and operational integration that informs cloud-scale designs. He mentors engineers and drives cross-functional programs that tie long-range AI strategy to concrete platform roadmaps and risk-mitigation plans. Based in Redmond, he combines hands-on NPI/manufacturing experience with a strong focus on supplier quality and fleet-level learning.
11 years of coding experience
12 years of employment as a software developer
Bachelor of Engineering (B.E), Computer Science Engineering, Bachelor of Engineering (B.E), Computer Science Engineering at Osmania University
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Suman Gumma - Principal Hardware Engineer - AI Infrastructure at Microsoft