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Job Description

  • Contribute to 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.
  • Drive RTL development, debug functional/performance simulations.
  • Meet schedule commitments and provide strong support to customers.
  • Participate in synthesis, timing/power estimation, and Field-programmable Gate Array (FPGA)/silicon bring-up.

Minimum qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, 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.

Preferred qualifications:

  • Master’s degree in Electrical/Computer Engineering, or a related field.
  • 10 years of experience with IP design for Complex IPs in Machine learning, Neural Processors, Multimedia or GPUs.
  • Experience with methodologies for low power estimation, timing closure, and synthesis.
  • Experience leading technical teams.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, 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.
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  • Role Senior TPU Design Engineer, Silicon
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

22 more Hardware Engineer roles in Mountain View

Job Overview

Approx. salary range

177K – 177K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 12 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
14 hours ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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