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Google
Google

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

Software Engineer, AI/ML Infrastructure, TILES

职能机器学习
级别中级
方式现场办公
类型全职
发布3周前
立即申请
  • Develop and maintain critical software services that orchestrate the network for Google's next-generation hardware and AI/ML platforms.

  • Contribute to the design and implementation of scalable network models for machines, racks, and ToR-to-fabric topologies using technologies like Unified Network Model (UNM) and Model X.

  • Build automation to streamline network capacity provisioning and enhance resource efficiency across Google's data centers. Enhance the reliability and operational excellence of the ToR infrastructure, ensuring seamless network performance for all Google services.

  • Partner with teams across Cloud to deliver end-to-end networking solutions for NPIs enabling AI/ML infrastructure.

  • Drive or contribute significantly to projects focused on introducing new rack switch hardware, improving the flexibility, efficiency, speed, and reliability of deployments, and boosting network availability. Write high-quality, testable, and maintainable code, and participate actively in design and code reviews.

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with software development in C++.

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关于Google

Google

Google

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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