This role pays more than
52%
of similar roles. Most pay
$150,908–$216,062
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$183k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
658 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 642 roles with salary data.
As a Senior Platform PnP Engineer within the Cloud Hardware Systems Engineering team, you will lead the power and performance strategy for next-generation Microsoft AI compute platforms. You will be responsible for driving performance-per-watt, scalability, and total cost of ownership while providing technical leadership and mentorship to a team of engineers. Your daily work involves collaborating with cross-functional teams across silicon, firmware, hardware, and operating systems to optimize platform solutions. You will perform workload characterization, power management feature development, frequency/voltage optimization, and memory subsystem efficiency tuning. The role requires expertise in SoC, CPU, GPU, and AI accelerator architectures, as well as experience with DVFS, telemetry, and thermal management. You will solve complex challenges regarding infrastructure scalability and performance for large-scale datacenter deployments, specifically focusing on AI training and inference applications within a hyperscale cloud environment.
Lead power and performance strategy for next-generation AI compute platforms to improve efficiency and total cost of ownership.
Drive silicon and platform architecture including workload characterization, power management features, and frequency/voltage optimization.
Optimize interactions between silicon, power delivery, thermal solutions, firmware, and operating systems to maximize reliability and scalability.
Lead power-performance characterization, profiling, and benchmarking across Azure datacenter deployments using AI training and inference applications.
Influence future silicon and platform roadmaps through analysis of workload behavior and emerging AI infrastructure requirements.
Communicate technical strategies and trade-offs to engineering leadership and executive stakeholders to align organizational goals.
Provide technical leadership and mentorship while leading cross-functional initiatives to solve complex hardware challenges.
What we're looking for
Master's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field and 3+ years of technical engineering experience.
Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field and 5+ years of technical engineering experience.
Ability to pass the Microsoft Cloud background check.
7+ years of technical engineering experience (preferred).
7+ years of relevant experience in compute and/or AI systems/platforms design and development (preferred).
Proven experience in silicon, platform, server, or datacenter power-performance architecture, characterization, optimization, and validation (preferred).
Deep understanding of modern SoC/CPU/GPU/AI accelerator architectures, power management techniques, and performance optimization methodologies (preferred).
Experience with AI/ML workloads, datacenter-scale performance analysis, workload profiling, benchmarking, and performance-per-watt optimization (preferred).