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职位Google

RTL Design Engineer, Multimedia and Machine Learning Accelerators

Google

RTL Design Engineer, Multimedia and Machine Learning Accelerators

Google

·

On-site

·

Full-time

·

1w ago

  • 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.

  • 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.

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关于Google

Google

Google

Public

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

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense