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Google
Google

Organizing the world's information and making it universally accessible.

RTL Design Engineer, Multimedia and Machine Learning Accelerators

직무머신러닝
경력미들급
근무오피스 출근
고용정규직
게시1개월 전
지원하기

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 $163,000-$237,000 + 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

  • Perform Verilog/System Verilog Register-Transfer Level (RTL) coding, function/performance simulation debug and Lint/Clock Domain Crossing (CDC)/Formal Verification (FV)/Unified Power Format (UPF) checks.

  • Perform RTL verification using industry standard methodologies; participate in test planning and coverage analysis.

  • Develop RTL implementations that meet engaged power, performance and area goals.

  • Participate in synthesis, timing/power closure and Field-programmable Gate Array (FPGA)/silicon bring-up.

  • Create tools/scripts to automate tasks and track progress, while working with multi-disciplined and multi-site teams in RTL design, verification, or architecture/micro-architecture planning.

Minimum qualifications

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

  • 8 years of experience designing RTL digital logic using System Verilog for FPGA/Application-Specific Integrated Circuits (ASICs) or equivalent practical experience.

  • Experience with a scripting language such as Perl or Python.

  • Experience in area, power and performance.

Preferred qualifications

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

  • Experience implementing Graphics Processing Unit (GPU), Multimedia Intellectual Property (IP)(Camera, Display or COdec) or Machine Learning IP.

  • Experience with ASIC design methodologies for clock domain checks and reset checks.

  • Proficiency in scripting languages, C/C++ programming and software design skills.

전체 조회수

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전체 지원 클릭

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전체 Mock Apply

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전체 스크랩

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Google 소개

Google

Google

Public

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

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

Junior/L3 · Data Scientist L3

0개 리포트

$176,704

총 연봉

기본급

-

주식

-

보너스

-

$150,298

$203,110

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense