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Google
Google

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

Software Engineer, PhD, Early Career, Infrastructure, 2026 Start

职能基础设施
级别资深
方式现场办公
类型全职
发布3个月前

薪酬

$141,000 - $202,000

立即申请

福利待遇

育儿假

弹性工作

Learning Budget

必备技能

PostgreSQL

React

TypeScript

  • Participate in or lead team projects to carry out design, analysis, and development of advanced systems across the stack, using your research expertise.

  • Write documents that set new technical directions. Contribute to existing documentation or educational content, and adapt content based on product/program updates and user feedback.

  • Study, diagnose and resolve complex technical issues by analyzing the sources of the issues and the impact on software, hardware, network, or service operations and quality.

  • Develop code, review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).

  • PhD degree in Computer Science, or a related field, or equivalent practical experience.

  • Experience coding in one of the following programming languages including but not limited to: C, C++, Python Java or Golang.

  • Experience in one or more of the following: architecting or developing distributed systems, concurrency, multi-threading, or synchronization.

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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

Mid/L4

Mid/L4 · Accessibility Analyst

1份报告

$214,500

年薪总额

基本工资

$165,000

股票

-

奖金

-

$214,500

$214,500

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