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ASIC Design Verification Engineer, Machine Learning

职能机器学习
级别中级
方式现场办公
类型全职
发布3个月前

薪酬

$132,000 - $189,000

立即申请

福利待遇

股权

无限假期

育儿假

医疗保险

必备技能

Python

TensorFlow

Airflow

  • Plan the verification of complex digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.

  • Create and enhance constrained-random verification environments using System Verilog and UVM, or formally verify designs with SVA and industry leading formal tools.

  • Identify and write all types of coverage measures for stimulus and corner-cases.

  • Debug tests with design engineers to deliver functionally correct design blocks.

  • Close coverage measures to identify verification holes and to show progress towards tape-out.

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

  • 4 years of experience with design verification.

  • Experience with System Verilog/Verilog.

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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

10条评价

4.5

10条评价

工作生活平衡

3.2

薪酬

4.3

企业文化

4.1

职业发展

4.2

管理层

3.8

82%

推荐率

优点

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

缺点

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

薪资范围

57,503个数据点

Junior/L3

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

L3

L4

L5

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

面试评价

9条评价

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