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 and AI accelerators that power Google's next-generation data center infrastructure. As a Lead Architect, you'll be at the forefront of innovation, working on cutting-edge AI hardware acceleration technologies that directly impact Google's vast product portfolio.
The position requires a deep understanding of hardware architecture, particularly in AI/ML acceleration, and combines expertise in both hardware and software domains. You'll be responsible for evaluating and implementing various silicon solutions, from off-the-shelf components to custom designs and chiplets, ensuring optimal performance for Google's AI infrastructure.
This is an exceptional opportunity for an experienced architect who wants to make a significant impact on the future of AI hardware acceleration. You'll work with world-class engineers and researchers, having access to Google's extensive resources and innovative technology stack. The role offers the chance to solve complex technical challenges at scale, directly influencing the performance and efficiency of Google's AI infrastructure.
The position is based in Bengaluru, India, where you'll be part of Google's growing technical presence in the region. You'll collaborate with global teams across different time zones, contributing to Google's mission of organizing the world's information and making it universally accessible and useful. The role combines technical leadership with hands-on architecture work, requiring both strategic thinking and detailed technical knowledge.
If you're passionate about pushing the boundaries of AI hardware acceleration and want to work on technology that impacts billions of users, this role offers the perfect blend of challenge, innovation, and scale. You'll be part of shaping the future of AI infrastructure while working with some of the best minds in the industry.
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
- Global work environment
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