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

Description For Lead Graphics Processing Unit Architect

Google is seeking a Lead Graphics Processing Unit Architect to join their hardware innovation team. This role is crucial in developing custom silicon solutions that power Google's direct-to-consumer products. As the Lead GPU Architect, you'll be at the forefront of architecting and developing next-generation Tensor System on a Chip (SoC) solutions, focusing on optimizing performance and power efficiency.

The position requires a deep understanding of GPU architecture, silicon design, and modern computing challenges. You'll work with cross-functional teams, including research, product management, and silicon teams, to define and implement innovative GPU solutions that enhance Google's hardware ecosystem. The role combines technical leadership with hands-on architecture development, requiring both strategic thinking and detailed technical expertise.

Key aspects of the role include leading GPU architecture development, collaborating on product roadmaps, and optimizing solutions for various Google devices. You'll be responsible for defining architecture specifications that meet stringent power, performance, and area requirements, while ensuring successful implementation through to tape-out and product launch.

The position offers a competitive compensation package, including a base salary range of $221,000-$314,000, plus bonus, equity, and comprehensive benefits. This is an opportunity to work at the cutting edge of hardware development, contributing to products used by millions worldwide while being part of Google's mission to organize the world's information and make it universally accessible.

The ideal candidate will bring 10+ years of GPU and silicon design experience, strong educational background in relevant fields, and proven expertise in hardware architecture and optimization. This role offers the chance to shape the future of Google's hardware experiences, delivering unparalleled performance, efficiency, and integration in next-generation devices.

Last updated a day 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
  • 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
Dental Insurance
Vision Insurance
Equity
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Equity
  • 401k

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