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TPU Microarchitecture Design Lead

Google organizes the world's information and makes it universally accessible and useful, combining AI, Software, and Hardware to create helpful experiences.
$183,000 - $271,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Hardware

Description For TPU Microarchitecture Design Lead

Google is seeking a TPU Microarchitecture Design Lead to spearhead the development of machine learning processors and accelerators. This role sits at the intersection of AI and hardware engineering, where you'll lead technical teams in delivering Machine Learning IPs for Google Silicon SoCs.

The position offers an opportunity to work at one of the world's leading technology companies, specifically in their cutting-edge TPU (Tensor Processing Unit) division. You'll be responsible for defining microarchitecture details for machine learning processors, overseeing RTL development, and ensuring successful implementation from design through silicon bring-up.

The role requires deep expertise in hardware design, with at least 8 years of experience in RTL design and microarchitecture, plus 4 years leading IP/SoC design teams. You'll need strong technical leadership skills as you'll be guiding teams through complex technical challenges and ensuring delivery of high-quality solutions.

This is an excellent opportunity for someone passionate about pushing the boundaries of AI hardware. You'll be working on technology that directly impacts Google's AI infrastructure and capabilities, with the potential to influence the future of machine learning acceleration. The position offers competitive compensation ($183,000-$271,000 + bonus + equity) and the chance to work with world-class engineers in either Mountain View or San Diego.

The ideal candidate will combine technical expertise in hardware design with leadership ability and a vision for the future of AI accelerators. You'll be part of Google's mission to organize the world's information and make it universally accessible, specifically through advancing the hardware that powers their AI systems.

Working at Google, you'll benefit from a collaborative environment, access to cutting-edge resources, and the opportunity to work on projects that impact millions of users. The company offers comprehensive benefits and is committed to creating an inclusive workplace where diverse perspectives are valued.

Last updated 2 days ago

Responsibilities For TPU Microarchitecture Design Lead

  • Technically lead a project team that delivers Machine Learning IPs for Google Silicon SoCs
  • Define microarchitecture details for Machine learning processors and accelerators along with specification of data flows and integration requirements for Subsystem Development
  • Oversee RTL development, and debug functional/performance simulations
  • Meet schedule commitments and provide support to customers
  • Participate in synthesis, timing/power estimation, and FPGA/silicon bring-up

Requirements For TPU Microarchitecture Design Lead

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
  • 8 years of experience with RTL design using Verilog/System Verilog and microarchitecture
  • 4 years of experience in leading IP/SoC design teams
  • Experience with ARM-based SoCs, interconnects, and ASIC methodology

Benefits For TPU Microarchitecture Design Lead

Medical Insurance
Equity
401k
  • Medical Insurance
  • Equity
  • 401k

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