Hardware Architect, GPU, ML IP

Google is a leading global technology company that develops innovative hardware and software solutions used by millions worldwide.
$156,000 - $229,000
Hardware
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Hardware

Description For Hardware Architect, GPU, ML IP

Google is seeking a Hardware Architect specializing in GPU and ML IP to join their team developing custom silicon solutions for direct-to-consumer products. This role focuses on ASIC architecture for Camera ISP, Video, TPU, GPU, and Display IP. The position involves close collaboration with various teams to architect power-efficient, high-performance hardware solutions. The ideal candidate will contribute to innovative hardware experiences that power Google's products used by millions worldwide. The role offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. The position requires expertise in hardware architecture, silicon design, and the ability to work cross-functionally with multiple teams to deliver cutting-edge solutions for Google's hardware devices.

Last updated 5 days ago

Responsibilities For Hardware Architect, GPU, ML IP

  • Define and deliver the hardware Graphics/Machine Learning IP architecture that meet engaged power, performance, area and image quality targets
  • Collaborate with Graphics, Camera, Video, Display and Machine Learning software, system and algorithm engineers
  • Collaborate with GPU, TPU, camera ISP, video and display hardware IP design teams across global sites
  • Collaborate with SoC and System/Experience architects on meeting power, performance and area requirements
  • Perform detailed data analysis and tradeoff evaluations to improve multimedia architecture solutions

Requirements For Hardware Architect, GPU, ML IP

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • 5 years of work experience in ASIC hardware architecture and silicon design
  • Experience in micro architecture, power and performance optimization
  • Knowledge of interconnect/fabric, security, multi-level caching architectures

Benefits For Hardware Architect, GPU, ML IP

Medical Insurance
Dental Insurance
Vision Insurance
  • bonus
  • equity
  • benefits

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