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GPU Silicon Architect

Google organizes the world's information and makes it universally accessible and useful, combining AI, Software, and Hardware to create helpful experiences.
$132,000 - $189,000
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Hardware

Description For GPU Silicon Architect

Google is seeking a GPU Silicon Architect to join their team developing custom silicon solutions for direct-to-consumer products. This role combines hardware architecture expertise with Google's AI capabilities to create next-generation computing experiences. The position involves defining GPU cores for Tensor SoCs, optimizing workloads, and collaborating with ML, Android, and device teams.

The ideal candidate will have strong computer architecture fundamentals including microarchitecture, cache systems, and memory subsystems. They should be experienced in GPU workload analysis and optimization. Knowledge of graphics APIs like Vulkan/OpenGL and ARM architecture is valuable. The role offers the opportunity to shape future Google hardware products used by millions globally.

This is a mid-level position requiring 3+ years of relevant experience, offering competitive compensation including base salary, bonus, equity and benefits. The role is based in Mountain View, CA and involves working on cutting-edge silicon development for Google's consumer devices division.

The position combines technical depth in computer architecture with the chance to impact widely-used consumer products. You'll be part of Google's mission to create radically helpful experiences through the integration of AI, software and custom silicon. The role offers excellent growth potential working alongside industry leaders in silicon development and machine learning.

If you're passionate about computer architecture, GPU optimization, and want to help shape the future of Google's hardware capabilities, this role provides an excellent opportunity to make a significant impact while working with cutting-edge technology.

Last updated 2 days ago

Responsibilities For GPU Silicon Architect

  • Define Graphics Processing Unit (GPU) cores for the Tensor System on a Chip (SOC) based on GPU workload analysis
  • Work with Google Machine Learning (ML), GPU Software, Android and device teams to bring compelling experiences leveraging GPUs to Google
  • Optimize the overall Tensor SoC and software stack for GPU workloads
  • Propose architectural features/requirements for GPU to better integrate GPU with Tensor SOC to improve overall performance

Requirements For GPU Silicon Architect

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • 3 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems
  • Experience with System Architecture or GPU Workload Analysis and Optimization

Benefits For GPU Silicon Architect

Medical Insurance
Equity
  • Bonus
  • Equity
  • Medical benefits

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