Silicon AI/ML Lead Architect, Google Cloud
Description For Silicon AI/ML Lead Architect, Google Cloud
Google is seeking a Silicon AI/ML Lead Architect for their Google Cloud team. This role is part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. The successful candidate will contribute to the innovation behind products loved by millions worldwide, shaping the next generation of hardware experiences and delivering unparalleled performance, efficiency, and integration.
As a Silicon AI/ML Lead Architect, you will be part of a team developing AI accelerators in data centers, with dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.
The Technical Infrastructure team at Google is responsible for building and maintaining the architecture that keeps everything running smoothly. From developing and maintaining data centers to building the next generation of Google platforms, this team makes Google's product portfolio possible. They take pride in being the engineers' engineers and love voiding warranties by taking things apart to rebuild them, ensuring that networks are up and running for the best and fastest user experience possible.
Key responsibilities include evaluating different silicon solutions for Google's data center AI accelerator roadmap, creating high-performance hardware/software interfaces, collaborating with various stakeholders, owning microarchitecture of compute-intensive IP and subsystems, and driving improvements in power, performance, and area for owned modules.
The ideal candidate should have a strong background in electrical engineering, extensive experience in micro-architecture and design of graphics or ML IPs, and expertise in ASIC architecture and development. Knowledge of SoC designs, experience working with software teams, and proficiency in programming languages like C++, Python, or Go are preferred.
Join Google's Technical Infrastructure team and be at the forefront of developing cutting-edge AI accelerators that will shape the future of Google's products and services.
Responsibilities For Silicon AI/ML Lead Architect, Google Cloud
- Evaluate different silicon solutions for executing Google's data center Artificial Intelligence (AI) accelerator roadmap: off-the-shelf 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 to ensure that designs are complete, correct, and performant
- 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 Lead Architect, Google Cloud
- Bachelor's degree in Electrical Engineering or equivalent practical experience
- 10 years of experience in micro-architecture and design of graphics or Machine Learning (ML) Internet Protocols (IP), handling 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
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