Google is seeking a GPU Silicon Architect to join their team developing custom silicon solutions that power the future of Google's direct-to-consumer products. This role combines the best of Google's AI, Software, and Hardware capabilities to create innovative experiences.
As a GPU Silicon Architect, you'll be responsible for defining GPU cores for the Tensor System on Chip (SOC) based on workload analysis. You'll collaborate with Machine Learning, GPU Software, Android, and device teams to optimize the overall Tensor SoC and software stack for GPU workloads. The role requires deep expertise in computer architecture concepts and GPU workload optimization.
The position offers a competitive compensation package including a base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits. This is an opportunity to work on cutting-edge technology that impacts millions of users worldwide through Google's products.
The ideal candidate will have at least 3 years of experience with computer architecture concepts and a strong background in System Architecture or GPU Workload Analysis. Knowledge of Vulkan, OpenGL, OpenCL, Android OS, and ARM-based system architecture concepts is highly valued. A Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field is required, with advanced degrees preferred.
Working at Google's Mountain View headquarters, you'll be part of a team that pushes boundaries in hardware innovation, focusing on delivering unparalleled performance, efficiency, and integration. This role offers the chance to shape the next generation of hardware experiences while working with some of the industry's best minds in silicon architecture and machine learning.
Google provides a collaborative environment with excellent career growth opportunities and a strong commitment to diversity and inclusion. The company offers comprehensive benefits and supports work-life balance, making it an ideal place for talented architects looking to make a significant impact in hardware development.