Principal Platform Power and Performance Engineer

• Lead platform power and performance strategy for next-generation Microsoft AI compute platforms, driving industry-leading performance-per-watt, scalability, efficiency, and total cost of ownership (TCO).
• Provide technical leadership and mentorship for a team of highly skilled engineers while leading cross-functional initiatives that solve complex platform power, performance, and efficiency challenges.
• Partner with business, architecture, silicon, firmware, hardware, validation, operating systems, manufacturing, and customer engineering teams to define requirements and deliver optimized platform solutions.
• Drive silicon and platform power-performance architecture, including workload characterization, power management features, frequency/voltage optimization, memory subsystem efficiency, accelerator utilization, and system-level performance tuning.
• Analyze and optimize interactions between silicon, power delivery, thermal solutions, firmware, operating systems, and datacenter infrastructure to maximize performance, efficiency, reliability, and operational scalability.
• Lead power-performance characterization, profiling, and benchmarking across Azure datacenter deployments using customer workloads, AI training and inference applications, and synthetic benchmarks to guide data-driven design decisions.
• Influence future silicon and platform roadmaps through deep analysis of workload behavior, performance bottlenecks, power efficiency opportunities, and emerging AI infrastructure requirements.
• Communicate technical strategies, tradeoffs, and recommendations to engineering leadership and executive stakeholders, driving alignment across organizations and accelerating delivery of next-generation AI infrastructure.

• Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR equivalent experience
• 8+ years of relevant experience in compute and/or AI systems/platforms design and development.
• 8+ years of experience with SoC, CPU, GPU, or AI accelerator architectures, including power management, performance analysis, memory subsystems, interconnects, power delivery, and thermal solutions.
• 8+ years of experience collaborating across hardware, firmware, operating systems, silicon architecture, and validation engineering teams to deliver platform solutions.

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter., * Experience with hyperscale cloud infrastructure, large-scale AI compute platforms, and datacenter operations.
• Experience with custom silicon, AI accelerators, and silicon bring-up from pre-silicon validation through production deployment.
• Knowledge of server architecture, power delivery systems, and liquid cooling technologies.
• Experience with workload characterization, profiling, benchmarking, and performance analysis for AI/ML workloads in large-scale datacenter environments.
• Experience optimizing performance, efficiency, and performance-per-watt across hardware and software systems.
• Experience leading cross-functional technical initiatives spanning multiple engineering disciplines.

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