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AI Job Summary

Design and document ASIC blocks for machine learning accelerators, proposing improvements to overall chip design and collaborating with software teams on functionality and interfaces. Requires a bachelor's degree in electrical engineering, computer science, or related field and four years of custom silicon design experience with RTL design in Verilog or SystemVerilog.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • Understand the overall application of the chip, proposing and developing improvements in overall design.
  • Design and document one or more blocks of an ASIC, including functionality and timing.
  • Work with software teams on functionality, interfaces, and documentation.

Minimum qualifications:

  • Bachelor's degree in electrical engineering, computer engineering, computer science, or a related field, or equivalent practical experience.
  • 4 years of experience with custom silicon design (e.g., SoCs, ASICs, etc.).
  • Experience with RTL design using Verilog or SystemVerilog.

Preferred qualifications:

  • Master's degree or PhD in electrical engineering, computer engineering, or computer science, with a focus on computer architecture.
  • Experience interacting with software, architecture, and other cross-functional teams.
  • Experience with a scripting language (e.g., Python or Perl).
  • Experience applying engineering best practices (e.g., code review, testing, refactoring).
  • Knowledge of processor design, accelerators, or memory hierarchies and machine learning algorithms.
  • Knowledge of high performance and low power design techniques.
  • Bachelor's degree in electrical engineering, computer engineering, computer science, or a related field, or equivalent practical experience.
  • 4 years of experience with custom silicon design (e.g., SoCs, ASICs, etc.).
  • Experience with RTL design using Verilog or SystemVerilog.
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Here is what this employer asked for. Sign in and we will fill in your half.

  • Role RTL Design Engineer, Machine Learning Accelerators
  • Experience 3-4 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.

34 more Hardware Engineer roles in Sunnyvale

Job Overview

Approx. salary range

152K – 308K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 21 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:
3 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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