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 represents a unique opportunity to shape the future of AI acceleration in Google's data centers. As a Lead Architect, you'll be at the forefront of developing custom silicon solutions that power Google's next-generation AI infrastructure.
The position combines deep technical expertise in hardware architecture with machine learning acceleration, requiring a blend of traditional hardware engineering skills and cutting-edge AI technology understanding. You'll work on evaluating and developing various silicon solutions, from off-the-shelf components to custom designs and chiplets, all aimed at optimizing AI workloads in data center environments.
This role is perfect for someone who has extensive experience in micro-architecture design, particularly in the context of ML/AI acceleration, and who can bridge the gap between hardware and software optimization. You'll be working with a diverse team of experts across different domains, from software engineers to silicon validation specialists, ensuring that Google's AI infrastructure remains at the cutting edge of performance and efficiency.
The position offers the opportunity to work on projects that directly impact millions of users worldwide through Google's products and services. You'll be part of the team that builds and maintains the technical infrastructure behind Google's entire product portfolio, working on challenges at a scale that few other companies can match.
The ideal candidate will bring both deep technical expertise and collaborative leadership skills, as you'll be responsible for driving architectural decisions that balance performance, power efficiency, and practical implementation considerations. This role represents an opportunity to shape the future of AI hardware acceleration at one of the world's leading technology 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
- Proficiency in a procedural programming language (C++, Python, Go)
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