GPU Architect, Silicon
Description For GPU Architect, Silicon
Google is seeking a GPU Architect to join their innovative hardware team focused on developing custom silicon solutions for Google's direct-to-consumer products. This role combines the cutting-edge of Google's AI, Software, and Hardware capabilities to create transformative computing experiences. As a GPU Architect, you'll be responsible for defining GPU cores for the Tensor SoC, analyzing workloads, and proposing architectural improvements to enhance overall system performance. You'll work closely with Machine Learning, GPU Software, Android, and device teams to bring engaging experiences to Google products. The position requires strong expertise in computer architecture, GPU workloads, and system optimization. You'll be part of a diverse team that pushes boundaries and develops solutions that power the future of Google's hardware experiences, delivering unparalleled performance, efficiency, and integration. This role offers the opportunity to impact millions of users worldwide while working with cutting-edge technology at one of the world's leading tech companies.
Responsibilities For GPU Architect, Silicon
- Define Graphics Processing Unit (GPU) cores for the Tensor SoC based on GPU workload analysis
- Propose architectural features/requirements for GPU to better integrate GPU with Tensor SoC to improve overall performance
- Work with Google Machine Learning, GPU Software, Android and device teams to bring engaging experiences leveraging GPUs to Google
- Enhance the overall Tensor SoC and software stack for GPU workloads
Requirements For GPU Architect, Silicon
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- Experience in architecture performance analysis, tools, or simulators using C++ and Python or similar
- Experience in using computer architecture concepts, such as pipelining, caches, virtual memory
- Master's degree or PhD in Computer Science, Electrical Engineering preferred
- Experience developing and analyzing workloads for GPUs preferred
- Experience with developing optimizing compilers preferred
- Knowledge of Vulkan, OpenGL, OpenCL, Android OS, Firmware preferred
- Knowledge of ARM-based system architecture concepts preferred
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