Principal Platform Power and Performance Engineer

** Overview*
* Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft's expanding Cloud Infrastructure and responsible for powering Microsoft's "Intelligent Cloud" mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Teams, One Drive, and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.

Our focus is on smart growth, high efficiency, and delivering a trusted experience to customers and partners worldwide and we are looking for passionate engineers to help achieve that mission.

As Microsoft's cloud business continues to grow the ability to deploy new offerings and hardware infrastructure on time, in high volume with high quality and lowest cost is of paramount importance. To achieve this goal, the CHSE (Cloud Hardware Systems Engineering) team is instrumental in defining and delivering operational measures of success for hardware manufacturing, improving the planning process, quality, delivery, scale and sustainability related to Microsoft cloud hardware.

We are looking for seasoned engineers with a dedicated passion for customer focused solutions, insight and industry knowledge to envision and implement future technical solutions that will manage and optimize the Cloud infrastructure.

We are looking for a Principal Platform Power and Performance (PnP) Engineer to join the team.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

** Responsibilities*
* + 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.

** Qualifications*
* *
* Required Qualifications:

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* + 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…