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 (Tensor Processing Unit) development for Google Cloud. This role combines hardware architecture expertise with machine learning specialization, working on custom silicon solutions that power Google's future products. The position requires deep understanding of SoC architecture, AI/ML systems, and hardware-software integration.
As a Silicon AI/ML Architect, you'll be at the forefront of developing cutting-edge AI accelerator architectures, working with multi-chiplet SoC designs, and optimizing performance for next-generation AI applications. You'll collaborate with diverse teams across systems, software, verification, and silicon validation to ensure optimal design implementation.
The role offers the opportunity to impact millions of users worldwide through Google's direct-to-consumer products and cloud services. You'll be working with state-of-the-art technology in AI/ML hardware acceleration, contributing to Google's data center infrastructure, and helping shape the future of AI computing architecture.
This position is ideal for experienced architects who are passionate about pushing the boundaries of AI hardware design, have a strong background in SoC architecture, and enjoy working at the intersection of hardware and machine learning. You'll be part of Google's prestigious Technical Infrastructure team, known for innovation and engineering excellence in maintaining and advancing Google's vast technical infrastructure.
The role combines technical leadership with hands-on architecture work, requiring both deep technical expertise and strong collaborative skills. You'll be instrumental in making strategic decisions that affect Google's AI hardware roadmap while working with cutting-edge technology in a dynamic, fast-paced environment.
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 closely 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, or related field
- 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
- Proficiency in a procedural programming language (C++, Python, Go)
- Knowledge of arithmetic units, bus architectures, accelerators, or memory hierarchies
- Knowledge of high performance and low power design techniques
Benefits For Silicon AI/ML Architect, TPU, Google Cloud
- Equal opportunity employer
- Inclusive work environment
- Comprehensive medical benefits
- Parental leave
- Global work environment
