GPU Silicon Architect

Google is seeking a GPU Silicon Architect to join their hardware team in Mountain View, California. This role is crucial in developing custom silicon solutions that power Google's direct-to-consumer products. The position combines hardware architecture expertise with GPU optimization, focusing on defining GPU cores for the Tensor System on Chip (SOC).

The role requires deep technical knowledge in computer architecture, particularly in GPU workload analysis and optimization. You'll work closely with Google's Machine Learning, GPU Software, Android, and device teams to create compelling experiences leveraging GPUs. The position offers a competitive base salary range of $132,000-$189,000, plus bonus, equity, and comprehensive benefits.

As a GPU Silicon Architect, you'll be responsible for optimizing the overall Tensor SoC and software stack for GPU workloads, proposing architectural features to improve integration and performance. The ideal candidate should have at least 3 years of experience with computer architecture concepts and a strong background in system architecture or GPU workload analysis.

This is an excellent opportunity for someone passionate about hardware architecture and GPU technology to work on cutting-edge products that impact millions of users. You'll be part of Google's mission to organize the world's information and make it universally accessible, while working with state-of-the-art technology and talented teams.

The role offers significant growth potential and the chance to shape the future of Google's hardware experiences. You'll be working in a collaborative environment that values innovation and technical excellence, with access to Google's vast resources and expertise in AI, software, and hardware development.