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.
$127,000 - $187,000
Hardware
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 diverse team focused on developing custom silicon solutions for Google's direct-to-consumer products. This role is crucial in shaping the next generation of hardware experiences, specifically working on GPU cores for the Tensor System on a Chip. The position requires strong expertise in computer architecture, GPU workload analysis, and system optimization. You'll collaborate with Machine Learning, GPU Software, Android, and device teams to create compelling experiences. The role offers competitive compensation ($127,000-$187,000) plus bonus, equity, and benefits. Google's commitment to innovation, coupled with their mission to organize world's information and make it universally accessible, makes this an exciting opportunity for someone passionate about hardware architecture and optimization. The position involves defining GPU cores, optimizing SOC performance, and proposing architectural features to enhance overall system efficiency. Google provides a collaborative environment where you'll work with cutting-edge technology and contribute to products used by millions worldwide. The company values diversity and maintains an inclusive culture, making it an ideal workplace for talented architects looking to make a significant impact in consumer technology.

Last updated 3 days ago

Responsibilities For GPU Silicon Architect

  • Define GPU (Graphics Processing Unit) cores for the Tensor System on a Chip (SOC) based on GPU workload analysis
  • Work with Google Machine Learning, 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
  • Knowledge of Vulkan, OpenGL, OpenCL, Android OS, Firmware
  • Knowledge of ARM-based system architecture concepts

Benefits For GPU Silicon Architect

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Bonus
  • Equity
  • Benefits package

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