Principal Platform Power and Performance Engineer

Microsoft Microsoft · Big Tech · Redmond, WA +4 · Hardware Engineering

Principal Platform Power and Performance Engineer for Microsoft's AI compute platforms, focusing on performance-per-watt, scalability, efficiency, and TCO. Responsibilities include leading strategy, technical mentorship, cross-functional collaboration, and influencing future roadmaps for AI infrastructure.

What you'd actually do

  1. 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).
  2. 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.
  3. Partner with business, architecture, silicon, firmware, hardware, validation, operating systems, manufacturing, and customer engineering teams to define requirements and deliver optimized platform solutions.
  4. 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.
  5. Analyze and optimize interactions between silicon, power delivery, thermal solutions, firmware, operating systems, and datacenter infrastructure to maximize performance, efficiency, reliability, and operational scalability.

Skills

Required

  • 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.

Nice to have

  • Experience with hyperscale cloud infrastructure, large-scale AI compute platforms, and datacenter operations.
  • Experience with custom silicon, AI accelerators, and silicon bring-up from pre-silicon validation through production deployment.
  • Knowledge of server architecture, power delivery systems, and liquid cooling technologies.
  • Experience with workload characterization, profiling, benchmarking, and performance analysis for AI/ML workloads in large-scale datacenter environments.
  • Experience optimizing performance, efficiency, and performance-per-watt across hardware and software systems.
  • Experience leading cross-functional technical initiatives spanning multiple engineering disciplines.

What the JD emphasized

  • AI compute platforms
  • AI training and inference applications
  • emerging AI infrastructure requirements

Other signals

  • AI compute platforms
  • AI training and inference applications
  • emerging AI infrastructure requirements