Silicon AI/ML Lead Architect
Description For Silicon AI/ML Lead Architect
Google Cloud is seeking a Silicon AI/ML Lead Architect to join their Technical Infrastructure team. This role combines hardware architecture expertise with AI/ML specialization to develop custom silicon solutions for Google's data center AI accelerators. The position offers a unique opportunity to shape the future of Google's hardware infrastructure, working at the intersection of AI and silicon design.
As a Lead Architect, you'll be responsible for evaluating and developing silicon solutions that power Google's data center AI accelerator roadmap. This includes working with cutting-edge technologies in AI acceleration, custom ASIC design, and high-performance computing. You'll collaborate with cross-functional teams across software, verification, physical design, and silicon validation to ensure optimal performance and efficiency.
The role requires deep expertise in micro-architecture design, particularly for ML/AI applications, with a focus on performance optimization and power efficiency. You'll be working in Google's Technical Infrastructure team, which is fundamental to keeping Google's vast product portfolio running smoothly. The team takes pride in their engineering excellence and innovative approach to solving complex technical challenges.
This position offers the opportunity to work on projects that directly impact millions of users worldwide through Google's infrastructure. You'll be part of a diverse team that pushes boundaries in custom silicon development, contributing to next-generation hardware experiences that deliver unparalleled performance and efficiency. The role combines technical leadership with hands-on architecture work, making it ideal for someone who wants to influence the future of AI hardware acceleration at scale.
Responsibilities For Silicon AI/ML Lead Architect
- Evaluate different silicon solutions for executing Google's data center AI accelerator roadmap
- 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 Lead Architect
- 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)
- 5 years of experience architecting networking ASICs from specification to production
- Experience developing RTL for ASIC subsystems using SystemVerilog
- Experience in micro-architecture, design, verification, logic synthesis, and timing closure
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies
- Proficiency in a procedural programming language (C++, Python, Go)
Benefits For Silicon AI/ML Lead Architect
- Equal opportunity employer
- Accommodation for special needs
- Comprehensive health benefits
- Parental leave
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