Principal Performance Architect

Microsoft Microsoft · Big Tech · Mountain View, CA +4 · Silicon Engineering

The Principal Performance Architect will develop and test SoC and IP models, analyze performance and bottlenecks for deep learning workloads, and prototype optimizations for AI accelerators. This role focuses on the performance and power efficiency of hardware infrastructure for AI workloads.

What you'd actually do

  1. Develop and test SoC and IP models, including model integration
  2. Analyze performance and bottlenecks for critical deep learning workloads
  3. Actively collaborate with architects, and provide critical feedback for future SoC
  4. Prototype opportunities for performance and power optimizations, and trade-offs on AI accelerators

Skills

Required

  • Doctorate in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 3+ years technical engineering experience OR Master's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 6+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field AND 8+ years technical engineering experience OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Access to information controlled for export under export control regulations

Nice to have

  • SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) architectures
  • deep neural network training, and inference workload optimizations
  • architecture and workload analysis on GPUs

What the JD emphasized

  • critical deep learning workloads
  • AI accelerators

Other signals

  • AI accelerators
  • deep learning workloads
  • SoC models