Silicon AI/ML Architect, TPU, Google Cloud
Description For Silicon AI/ML Architect, TPU, Google Cloud
Google is seeking a Silicon AI/ML Architect to join their Technical Infrastructure team, focusing on TPU development for Google Cloud. This role combines hardware architecture expertise with machine learning capabilities, working on custom silicon solutions that power Google's future products. The position involves developing SoC architectures for AI/ML applications, collaborating with various teams to optimize hardware-software interfaces, and driving innovations in Google's data center AI accelerator roadmap. The ideal candidate will have extensive experience in SoC design, machine learning architectures, and system optimization. This role offers the opportunity to shape the next generation of Google's AI hardware infrastructure, working with cutting-edge technology and contributing to products used by millions worldwide. The position requires deep technical expertise in both hardware architecture and machine learning, making it a unique opportunity to impact Google's AI computing capabilities.
Responsibilities For Silicon AI/ML Architect, TPU, Google Cloud
- Develop SoC architecture and Architecture specifications that meet current and future computing requirements for AI/ML roadmap
- Evaluate different silicon solutions for executing Google's data center AI accelerator roadmap
- Collaborate with Systems and Software teams to create high performance hardware/software interfaces
- Collaborate with design, verification, emulation, physical design, packaging, and silicon validation stakeholders
- Evaluate power, performance, area tradeoffs and drive improvements across generations
Requirements For Silicon AI/ML Architect, TPU, Google Cloud
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience
- 10 years of experience in architecture of machine learning or graphics SoCs
- 8 years of experience with performance, power, area, cost tradeoff analysis for multi chiplet SoC architectures
- Experience with ASIC design flows, from specification to production
- Experience in SoC designs, RTL coding and integration flows
- Experience working with software teams optimizing the hardware/software interface
- Knowledge of high performance and low power design techniques
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies
Benefits For Silicon AI/ML Architect, TPU, Google Cloud
- Equal employment opportunity
- Inclusive work culture
- Comprehensive medical benefits
- Parental leave
- Accommodation for special needs
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