Job description

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, OneDrive, 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 a Senior Platform PnP Engineer 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. 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: • Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 3+ years technical engineering experience • OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 5+ years technical engineering experience • OR equivalent experience 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. Preferred Qualifications: • 7+ years of technical engineering experience • 7+ years of relevant experience in compute and/or AI  systems/platforms design and development. • Excellent collaboration and communications skills being able to partner across Organizations. • Proven experience in silicon, platform, server, or datacenter power-performance architecture, characterization, optimization, and validation. • Deep understanding of modern SoC/CPU/GPU/AI accelerator architectures, power management techniques, and performance optimization methodologies. • Strong knowledge of silicon power states, DVFS, telemetry, memory subsystems, interconnects, power delivery networks, and thermal management solutions. • Experience with AI/ML workloads, datacenter-scale performance analysis, workload profiling, benchmarking, and performance-per-watt optimization. • Experience working across hardware, firmware, operating systems, silicon architecture, and validation teams to deliver complex platform solutions. • Demonstrated technical leadership influencing architecture decisions, product roadmaps, and cross-functional engineering organizations. • Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to engineering and executive leaders. • Experience with hyperscale cloud infrastructure and AI compute platforms. • Experience with custom silicon or AI accelerator development. • Knowledge of server architecture, power delivery design, liquid cooling, and large-scale datacenter operations. • Experience driving silicon bring-up, performance tuning, power optimization, and workload characterization from pre-silicon through production deployment. • Proven track record of leading large cross-functional technical initiatives and influencing organization-wide engineering strategy. #SCHIE #CHSE #azurehwjobs Hardware Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: careers.microsoft.com This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Requirements

Must-haves

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.
Influence future silicon and platform roadmaps through deep analysis of workload behavior, performance bottlenecks, power efficiency opportunities, and emerging AI infrastructure requirements.
OR equivalent experience
7+ years of technical engineering experience
7+ years of relevant experience in compute and/or AI  systems/platforms design and development.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Excellent collaboration and communications skills being able to partner across Organizations.
Proven experience in silicon, platform, server, or datacenter power-performance architecture, characterization, optimization, and validation.
Deep understanding of modern SoC/CPU/GPU/AI accelerator architectures, power management techniques, and performance optimization methodologies.
Strong knowledge of silicon power states, DVFS, telemetry, memory subsystems, interconnects, power delivery networks, and thermal management solutions.
Experience with AI/ML workloads, datacenter-scale performance analysis, workload profiling, benchmarking, and performance-per-watt optimization.
Experience working across hardware, firmware, operating systems, silicon architecture, and validation teams to deliver complex platform solutions.
Demonstrated technical leadership influencing architecture decisions, product roadmaps, and cross-functional engineering organizations.
Strong analytical and problem-solving skills with the ability to communicate complex technical concepts to engineering and executive leaders.
Experience with hyperscale cloud infrastructure and AI compute platforms.
Experience with custom silicon or AI accelerator development.
Knowledge of server architecture, power delivery design, liquid cooling, and large-scale datacenter operations.
Experience driving silicon bring-up, performance tuning, power optimization, and workload characterization from pre-silicon through production deployment.

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Keywords to mirror

azureaiml

Platform: eightfold
Effort: medium

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