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 is crucial in developing custom silicon solutions that power Google's direct-to-consumer products and next-generation data center AI accelerators. The position combines deep technical expertise in hardware architecture with AI/ML specialization.
As a Lead Architect, you'll be at the forefront of developing AI accelerators for data centers, working on everything from project definition to implementation. You'll be responsible for evaluating and implementing various silicon solutions, creating efficient hardware/software interfaces, and driving improvements in power, performance, and area optimization.
The role offers an opportunity to work with a diverse team that pushes boundaries in custom silicon development. You'll be contributing to innovations that impact millions of users worldwide through Google's product portfolio. The position requires extensive experience in micro-architecture, ASIC design, and ML hardware acceleration, making it perfect for someone who wants to shape the future of AI hardware infrastructure.
Working at Google means being part of a company that values diversity, inclusion, and innovation. You'll join the Technical Infrastructure team, which is fundamental to keeping Google's vast network of services running smoothly. The team takes pride in being "engineers' engineers" and approaches challenges with a hands-on mentality.
This is an exceptional opportunity for an experienced architect who wants to make a significant impact on the future of AI hardware acceleration while working with cutting-edge technology and world-class teams. The role combines technical leadership with hands-on development, offering both challenges and opportunities for growth in one of tech's most innovative companies.
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
- Knowledge of high performance and low power design techniques
- 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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