Silicon AI/ML Architect, Google Cloud
Description For Silicon AI/ML Architect, Google Cloud
Google Cloud is seeking a Silicon AI/ML Architect to join their Technical Infrastructure team, focusing on developing cutting-edge AI accelerators for data centers. This role combines hardware architecture expertise with machine learning capabilities, making it perfect for those passionate about pushing the boundaries of AI hardware innovation.
The position involves working on next-generation data center accelerators, requiring deep expertise in micro-architecture, ASIC design, and ML hardware optimization. You'll be responsible for evaluating and implementing various silicon solutions, from off-the-shelf components to custom designs and chiplets, while ensuring optimal performance and efficiency.
As part of Google's Technical Infrastructure team, you'll contribute to the backbone of Google's vast product portfolio. The role demands collaboration with cross-functional teams, including software, verification, and silicon validation stakeholders. You'll own the microarchitecture of compute-intensive IPs and drive improvements in power, performance, and area optimization.
The ideal candidate brings 5+ years of experience in micro-architecture and ML IPs, along with strong expertise in ASIC development and SystemVerilog. Knowledge of modern AI hardware architectures, SoC designs, and programming languages like Python or Go is essential. This role offers the opportunity to shape the future of Google's AI infrastructure while working with industry-leading experts in silicon design and machine learning.
Join Google's diverse team in Bengaluru, where you'll help develop custom silicon solutions that power the future of Google's direct-to-consumer products. Your work will directly impact millions of users worldwide, making this an excellent opportunity for those looking to make a significant impact in the field of AI hardware architecture.
Responsibilities For Silicon AI/ML Architect, Google Cloud
- Evaluate different silicon solutions for executing Google's data center AI accelerator roadmap: off-the-shelf components, vendor co-developments, custom designs, and chiplets
- Create high performance hardware/software interfaces
- Collaborate closely with software, verification, emulation, physical design, packaging, and silicon validation stakeholders
- Own microarchitecture of compute intensive IPs and subsystems
- Identify and drive power, performance, and area improvements for the modules owned
Requirements For Silicon AI/ML Architect, Google Cloud
- Bachelor's degree in Electrical Engineering or equivalent practical experience
- 5 years of experience in micro-architecture and design of graphics or ML IPs, handling Low Precision/Mixed Precision Numerics
- 3 years of experience architecting networking ASICs from specification to production
- Experience developing Register Transfer Level (RTL) for Application-Specific Integrated Circuit (ASIC) subsystems using SystemVerilog
- Experience in micro-architecture, design, verification, logic synthesis, and timing closure
- Experience in SoC designs and integration flows
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies
- Proficiency in a procedural programming language (e.g., C++, Python, Go)
Benefits For Silicon AI/ML Architect, Google Cloud
- Equal employment opportunity
- Accommodation for special needs
- Comprehensive benefits package
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