below marketmost similar roles pay hereabove market
This role pays more than
63%
of similar roles. Most pay
$169,550–$235,849
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$203k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
JOB TITLE: Principal Platform Power and Performance Engineer
The Principal Platform Power and Performance Engineer joins the Cloud Hardware Systems Engineering team to lead the power and performance strategy for next-generation Microsoft AI compute platforms. This role involves providing technical leadership and mentorship while driving cross-functional initiatives to optimize performance-per-watt, scalability, and total cost of ownership. Key responsibilities include driving silicon and platform power-performance architecture, performing workload characterization, and optimizing interactions between silicon, power delivery, thermal solutions, firmware, and operating systems. The engineer will utilize skills in SoC, CPU, GPU, and AI accelerator architectures to conduct profiling and benchmarking across Azure datacenter deployments. The work focuses on solving complex platform efficiency challenges for AI training and inference applications, ensuring high-quality, high-volume hardware deployment for large-scale cloud infrastructure.
Lead the power and performance strategy for next-generation Microsoft AI compute platforms to optimize performance-per-watt and total cost of ownership.
Provide technical leadership and mentorship to a team of engineers while leading cross-functional initiatives to solve complex platform challenges.
Partner with silicon, firmware, hardware, and operating system teams to define requirements and deliver optimized platform solutions.
Drive silicon and platform architecture including workload characterization, power management features, and system-level performance tuning.
Analyze and optimize interactions between silicon, power delivery, thermal solutions, and datacenter infrastructure 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 deep analysis of workload behavior and emerging AI infrastructure requirements.
Communicate technical strategies and recommendations to engineering leadership and executive stakeholders to drive organizational alignment.
What we're looking for
Master's Degree in Electrical, Computer, or Mechanical Engineering with 7+ years of technical engineering experience.
Bachelor's Degree in Electrical, Computer, or Mechanical Engineering with 8+ years of technical engineering 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 and thermal solutions.
8+ years of experience collaborating across hardware, firmware, operating systems, silicon architecture, and validation engineering teams.
Ability to meet Microsoft Cloud Background Check requirements.
Experience with hyperscale cloud infrastructure, large-scale AI compute platforms, and datacenter operations (preferred).
Experience with custom silicon, AI accelerators, and silicon bring-up from pre-silicon validation through production (preferred).
SoC
Python
Shell Scripting
Computer Architecture
Power Management
Driver Development
Systems Programming
Benchmarking
Hardware/Software Co-design
DC Power Delivery Circuits
Power Measurement Tools
Operating Systems
SoC
Python
Shell Scripting
Computer Architecture
Power Management
Driver Development
Benchmarking
Hardware/Software Co-design
DC Power Delivery
Systems Programming
Operating Systems
reverse-engineering