Microsoft Principal AI Platform Architect 

United States, Washington 

842889029

ptimized solutions that are deployed and managed at hyperscale and power Azure. Leading the AI platform architecture for these systems that power one of the largest hardware deployments on earth requires deep technical knowledge and partnership across many teams. This individual will act as the subject matter expert and platform architect for Microsoft internal Artificial intelligence (AI) Accelerator family products, helping articulate and define our next generation platforms. This requires working across multiple domains including product, software, electrical, mechanical, thermal, performance,nd deployment to find the right solution

is part of a broader hardware and infrastructure organization known asthe Siliconis responsible for

the ability to deploy new offerings and HW infrastructure on time, at hyperscale, with high reliability and the best performance/price level is paramount.

our culture every day

Required Qualifications:

• 10+ years of technical engineering experience

o ORBachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years of technical engineering experience

o ORMaster's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years of technical engineering experience

o OR Doctorate degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 4+ years of technical engineering experience.

• 10+ yearsdemonstratedexpertisein AI platform and/or rack-scale server architecture and design.

• 10+ yearsdemonstratedexpertisein co-designing with datacenter, server, silicon, firmware/software orchestration, and manufacturing engineering organizations.

Other Requirements:

to meet Microsoft, customer and/or government security screening requirementsfor this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will beto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience deploying AI or GPU systems at scale within a cloud service provider or hyper-scale company.

• Knowledge of AI training and inference workloads, and understanding of how hardware impacts AI performance, operations, and efficiencies.

• Ability to analyze AI system concepts from a total cost of ownership (TCO), performance per TCO, and performance per watt perspective, including understanding system constraints that drive design tradeoffs.

• in conducting tradeoff studies for electrical, mechanical, thermal, and hardware systems.

• Experience in PCBA (Printed Circuit Board Assembly) design, including schematic creation, layout, routing, power, and signal integrity.

• Drive platform, rack, and datacenter-level architectural concepts and definition for Microsoft AI system products.

• Build relationships with our internal silicon development organizations, technology, and development partners to drive leading edge innovation into our next generation products.

• Partner across Microsoft teams and collaborate to deliver industry leading products.

• Distill and articulate architectural tradeoffs encompassing electrical, signal integrity, mechanical, power, and thermal inputs in terms of key metrics such as Total Cost of Ownership TCO, performance, power efficiency, schedule, and risk.

• Drive and influence technology providers and design partners towardsoptimalcomponents and solutions to meet the future requirements for Azure’s infrastructure.

• Embody our