Google is seeking a GPU Silicon Architect to join their team developing custom silicon solutions for direct-to-consumer products. This role combines hardware architecture expertise with Google's AI capabilities to create next-generation computing experiences. The position involves defining GPU cores for Tensor SoCs, optimizing workloads, and collaborating with ML, Android, and device teams.
The ideal candidate will have strong computer architecture fundamentals including microarchitecture, cache systems, and memory subsystems. They should be experienced in GPU workload analysis and optimization. Knowledge of graphics APIs like Vulkan/OpenGL and ARM architecture is valuable. The role offers the opportunity to shape future Google hardware products used by millions globally.
This is a mid-level position requiring 3+ years of relevant experience, offering competitive compensation including base salary, bonus, equity and benefits. The role is based in Mountain View, CA and involves working on cutting-edge silicon development for Google's consumer devices division.
The position combines technical depth in computer architecture with the chance to impact widely-used consumer products. You'll be part of Google's mission to create radically helpful experiences through the integration of AI, software and custom silicon. The role offers excellent growth potential working alongside industry leaders in silicon development and machine learning.
If you're passionate about computer architecture, GPU optimization, and want to help shape the future of Google's hardware capabilities, this role provides an excellent opportunity to make a significant impact while working with cutting-edge technology.