Senior GPU System Architect

Google organizes the world's information and makes it universally accessible and useful, combining AI, Software, and Hardware to create helpful experiences.
New Taipei, Banqiao District, New Taipei City, Taiwan
Embedded
Staff Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Hardware

Description For Senior GPU System Architect

Join Google's innovative hardware team as a Senior GPU System Architect, where you'll be at the forefront of developing custom silicon solutions that power Google's direct-to-consumer products. This role combines advanced GPU architecture with practical applications in gaming, UI, and machine learning workloads.

You'll be responsible for driving GPU architecture for the Tensor SOC, working closely with various teams including Product Management, Google Research, and device teams. The position requires deep expertise in computer architecture concepts and GPU workload analysis, with opportunities to shape the next generation of hardware experiences.

The ideal candidate should have strong background in computer architecture, with at least 5 years of experience in microarchitecture, cache hierarchy, pipelining, and memory subsystems. Knowledge of Vulkan, OpenGL, OpenCL, Android OS, and ARM-based system architecture concepts is highly valued.

At Google, you'll be part of a team that pushes boundaries and develops solutions used by millions worldwide. The role offers the opportunity to work on cutting-edge technology while contributing to Google's mission of organizing the world's information and making it universally accessible and useful.

This position combines technical leadership with hands-on architecture work, requiring collaboration across multiple teams to optimize both hardware and software stack for GPU workloads. You'll be instrumental in improving overall SoC performance and bringing new GPU-leveraging experiences to Google's products.

Last updated 2 minutes ago

Responsibilities For Senior GPU System Architect

  • Drive GPU architecture for the Tensor SOC based on GPU workload analysis, including games, User Interface, and ML
  • Propose system level architectural features/requirements to improve overall SoC performance on GPU workloads
  • Work with Product Management, Google Research, and device teams to bring experiences leveraging GPUs to Google
  • Work with GPU Software, Android teams to optimize the software stack for GPU workloads

Requirements For Senior GPU System Architect

Linux
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
  • 5 years of experience with computer architecture concepts, including microarchitecture, cache hierarchy, pipelining, and memory subsystems
  • Experience with system architecture or GPU workload analysis

Benefits For Senior GPU System Architect

Medical Insurance
Parental Leave
  • Google welcomes people with disabilities
  • Equal employment opportunity

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