The Principal Platform Power and Performance Engineer will join the Cloud Hardware Systems Engineering team at Microsoft, focusing on enhancing the performance and efficiency of next-generation AI compute platforms. This role involves leading technical initiatives and collaborating with various engineering teams to optimize platform solutions. The engineer will analyze interactions between hardware and software components to maximize performance and reliability. The position is crucial for driving innovations that support Microsoft's cloud infrastructure and AI capabilities.

• 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
• Ability to meet Microsoft, customer and/or government security screening requirements

• 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.
• 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.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.