Lead Graphics Processing Unit Architect

Google organizes world's information, making it universally accessible and useful through AI, Software, and Hardware innovation.
$221,000 - $314,000
Embedded
Principal Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Consumer

Description For Lead Graphics Processing Unit Architect

Google is seeking a Lead Graphics Processing Unit Architect to join their hardware innovation team. This role combines cutting-edge GPU architecture with Google's mission to create transformative computing experiences. The position offers an opportunity to shape the future of Google's direct-to-consumer products through custom silicon solutions.

As the Lead GPU Architect, you'll be at the forefront of developing next-generation Tensor System on a Chip (SoC) architectures, focusing on optimizing performance and power efficiency. You'll work with diverse teams across Google, including research, silicon product management, and software development, to define and implement innovative GPU solutions that power various Google devices.

The role requires deep expertise in GPU architecture, silicon design, and system optimization, with a focus on integrating Machine Learning capabilities. You'll be responsible for creating architectural specifications that meet rigorous performance, power, and area requirements, while ensuring seamless integration with Google's broader hardware ecosystem.

This position offers a competitive compensation package, including a base salary range of $221,000-$314,000, plus bonus, equity, and comprehensive benefits. The role is based in either Mountain View or San Diego, California, providing an opportunity to work at the heart of Google's hardware innovation centers.

The ideal candidate will bring 10+ years of GPU and silicon design experience, along with a strong educational background in Computer Engineering or related fields. You'll need to demonstrate expertise in low-power GPU design, micro-architecture optimization, and cross-functional collaboration.

This role represents a unique opportunity to contribute to Google's mission of making computing more accessible and powerful while working with cutting-edge technology and world-class teams. You'll be instrumental in developing the next generation of Google's hardware experiences, directly impacting millions of users worldwide.

Last updated 8 days ago

Responsibilities For Lead Graphics Processing Unit Architect

  • Lead Graphics Processing Unit (GPU) architecture and development for the next-generation of Tensor System on a Chip (SoC) to boost performance and power based on Graphics, Machine Learning (ML) and User Interface (UI) workload analysis
  • Collaborate with Google research and silicon product management to help define the product roadmap for GPU hardware IP on SoC for a variety of Google devices
  • Propose architectural features/requirements for GPU to better integrate GPU with Tensor SoC to improve overall performance and optimize the overall Tensor SoC and software stack for GPU workloads
  • Define and deliver the hardware IP architecture specifications that meet competitive power, performance, area, and image quality goals, which will require owning goals through to tape-out and product launch
  • Perform detailed data analysis and tradeoff evaluations to improve GPU architecture solutions

Requirements For Lead Graphics Processing Unit Architect

Linux
Python
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent practical experience
  • 10 years of experience in Graphics Processing Unit (GPU), graphic architecture and silicon design
  • Master's degree or PhD in Electrical Engineering, Computer Engineering, or Computer Science (preferred)
  • Experience collaborating cross-functionally with Product Management, SoC architecture, IP design and verification, Algorithm and Software Development teams
  • Experience architecting and designing low-power GPU hardware Internet Protocol (IP) for System on a Chips (SoC)
  • Experience in micro architecture, power and performance optimization
  • Experience with Machine Learning (ML), GPU Software, Android first-party (1P)/third-party (3P) Application Programming Interface (API) and Devices

Benefits For Lead Graphics Processing Unit Architect

Medical Insurance
Equity
  • Competitive base salary
  • Bonus
  • Equity
  • Comprehensive benefits package

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