SoC Senior System Performance and Architecture Engineer, Silicon

Google is seeking a Senior System Performance and Architecture Engineer to join their Silicon team, focusing on custom silicon solutions that power Google's direct-to-consumer products. This role combines hardware expertise with machine learning optimization, particularly around Tensor Processing Units (TPU).

The position requires deep technical knowledge in computer architecture, on-device machine learning, and system performance optimization. You'll work at the intersection of hardware and software, analyzing and improving the performance of machine learning workloads on custom silicon platforms.

As a senior engineer, you'll collaborate with cross-functional teams to conduct both qualitative and quantitative analysis of performance and power characteristics, with a special focus on machine learning applications. Your work will directly impact the next generation of Google's hardware experiences, aiming to deliver unparalleled performance and efficiency.

The ideal candidate brings strong experience in chip industry and machine learning, particularly with TPUs. You'll be responsible for studying workload behavior, identifying optimization opportunities, and contributing to future ASIC architecture decisions. This role offers the opportunity to shape the future of Google's hardware products while working with cutting-edge technology in machine learning and custom silicon.

This position is based in New Taipei City, Taiwan, where you'll be part of Google's broader mission to create radically helpful experiences through the combination of AI, software, and hardware. The role offers the chance to work on products used by millions worldwide while pushing the boundaries of what's possible in hardware performance and efficiency.