refresh

トレンド企業

トレンド企業

採用

求人Google

Staff CPU RTL Designer, Silicon

Google

Staff CPU RTL Designer, Silicon

Google

·

On-site

·

Full-time

·

2mo ago

報酬

$183,000 - $271,000

福利厚生

Healthcare

必須スキル

Principle

InVision

Figma

About the job

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.

The US base salary range for this full-time position is $183,000-$271,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

  • Participate in developing CPU subsystem. Develop CPU subsystem front-end designs, emphasizing on microarchitecture and RTL design for the next generation CPU.

  • Propose performance enhancing microarchitecture features, and work with Software, Architect, and Performance teams for trade-off studies.

  • Communicate the pros and cons of microarchitecture enhancements. Deliver designs, meeting PPA goals with production quality.

  • Work with the Verification team to ensure production of quality designs, and the physical design and power teams to meet frequency, power, and area goals.

  • Understand modern techniques, interpret the techniques into design constructs, and languages in order to provide guidance to and participate in the performance evaluation effort.

Minimum qualifications

  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.

  • 10 years of experience in CPU or AI accelerator logic/RTL design, including microarchitecture definition and PPA optimizations.

  • Experience with RTL language (System Verilog) and related design processes (e.g., Lint, UPF).

Preferred qualifications

  • Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.

  • Experience leading front-end design for modern processor components or AI accelerators.

  • Experience with ARM Instruction Set Architecture.

  • Experience with SOC design, architect, and integration.

  • Experience with post silicon debug.

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

Googleについて

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

従業員数

Mountain View

本社所在地

$1,700B

企業価値

レビュー

3.7

25件のレビュー

ワークライフバランス

3.8

報酬

4.2

企業文化

3.4

キャリア

3.9

経営陣

2.8

68%

友人に勧める

良い点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

改善点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

給与レンジ

57,502件のデータ

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0件のレポート

$176,704

年収総額

基本給

-

ストック

-

ボーナス

-

$150,298

$203,110

面接体験

9件の面接

難易度

3.4

/ 5

期間

14-28週間

内定率

44%

体験

ポジティブ 0%

普通 56%

ネガティブ 44%

面接プロセス

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense