GPU Silicon Architect
Description For GPU Silicon Architect
Join Google's innovative hardware team as a GPU Silicon Architect, where you'll be at the forefront of developing custom silicon solutions that power Google's direct-to-consumer products. This role combines the best of Google's AI, Software, and Hardware capabilities to create groundbreaking experiences.
As a GPU Silicon Architect, you'll be responsible for defining GPU cores for the Tensor System on a Chip, working closely with Machine Learning, GPU Software, Android, and device teams. Your expertise in computer architecture, including microarchitecture, cache hierarchy, and memory subsystems, will be crucial in optimizing the overall Tensor SOC and software stack for GPU workloads.
The position offers competitive compensation ($127,000-$187,000) plus bonus, equity, and comprehensive benefits. You'll be part of Google's mission to organize the world's information and make it universally accessible, working on technologies that impact millions of users worldwide.
The ideal candidate should have at least 3 years of experience in GPU architecture and system optimization, with a strong educational background in Electrical Engineering, Computer Engineering, or Computer Science. Knowledge of Vulkan, OpenGL, OpenCL, Android OS, and ARM-based system architecture is highly valued.
This is an excellent opportunity to shape the future of Google's hardware experiences, delivering unparalleled performance, efficiency, and integration while working with a diverse team that pushes boundaries and drives innovation.
Responsibilities For GPU Silicon Architect
- Define GPU 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
Benefits For GPU Silicon Architect
- bonus
- equity
- benefits
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