Silicon AI/ML Architect, Google Cloud
Job Description
Google is seeking a Silicon AI/ML Architect to join their Google Cloud team, focusing on developing cutting-edge AI accelerators for data centers. This role combines hardware architecture expertise with machine learning capabilities to shape the future of Google's AI infrastructure.
The position involves working with a team dedicated to pushing the boundaries of AI hardware acceleration, developing custom silicon solutions that power Google's next-generation data center capabilities. The architect will play a crucial role in project definition, design, and implementation of AI accelerators that drive Google's cloud infrastructure.
As a Silicon AI/ML Architect, you'll be responsible for evaluating and implementing various silicon solutions, creating high-performance hardware/software interfaces, and collaborating across multiple teams including software, verification, and silicon validation. The role requires deep expertise in microarchitecture, ASIC design, and machine learning hardware acceleration.
The ideal candidate brings a strong background in electrical engineering, extensive experience in micro-architecture and ML IP design, and proven expertise in ASIC development. They should be comfortable working with various programming languages and have a deep understanding of arithmetic units, bus architectures, and high-performance design techniques.
This position offers the opportunity to work at the forefront of AI hardware development, contributing to solutions that will power millions of users worldwide through Google's cloud infrastructure. The role combines technical leadership with hands-on architecture work, making it ideal for someone who wants to impact the future of AI computing at scale.
Responsibilities For Silicon AI/ML Architect, Google Cloud
- Evaluate different silicon solutions for executing Google's data center Artificial Intelligence (AI) accelerator roadmap, components, vendor co-developments, custom designs and chiplets
- Create high-performance hardware/software interfaces
- Collaborate with software, verification, emulation, physical design, packaging and silicon validation stakeholders
- Own microarchitecture of compute intensive Internet Protocols (IP) and subsystems
- Identify and drive power, performance and area improvements for the modules owned
Requirements For Silicon AI/ML Architect, Google Cloud
- Bachelor's degree in Electrical Engineering or equivalent practical experience
- 8 years of experience in micro-architecture and design of graphics or Machine Learning (ML) Internet Protocols (IP), managing Low Precision/Mixed Precision Numerics
- 5 years of experience architecting networking Application-Specific Integrated Circuits (ASIC) from specification to production
- Experience developing Register-Transfer Level (RTL) for ASIC subsystems using SystemVerilog
- Experience in micro-architecture, design, verification, logic synthesis and timing closure
