Silicon Microarchitecture Engineer, Deepmind

Google Google · Big Tech · Mountain View, CA +1

Develops custom silicon solutions for Google's direct-to-consumer products, focusing on machine learning accelerators. The role involves architecture, micro-architecture, and RTL design, requiring expertise in hardware design and an understanding of ML models.

What you'd actually do

  1. Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages, and Systems.
  2. Participate in high performance machine learning accelerator architecture, micro-architecture, and RTL design.
  3. Select and integrate in-house and third party IP.
  4. Explore various trade-offs of future architecture designs in terms of performance, power, energy, and area.

Skills

Required

  • RTL design in Verilog/System Verilog
  • micro-architecture definition
  • Electrical Engineering
  • Computer Engineering
  • Computer Science

Nice to have

  • physical design
  • high-performance and low-power architectures for ML acceleration
  • transformer-based large language models
  • processor core SoC integration
  • high level synthesis

What the JD emphasized

  • 10 years of experience in RTL design in Verilog/System Verilog
  • 5 years of experience in micro-architecture definition