热门公司

Google
Google

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

Software Engineer, Google Ads

职能工程
级别中级
方式现场办公
类型全职
发布1个月前
立即申请

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

  • Dive deep into complex, high-throughput advertising systems and intricate codebases to drive impactful performance improvements across both real-time serving stacks and offline data pipelines.

  • Lead the full software development lifecycle - from initial design and architectural planning to implementation, testing, and global deployment within production environments.

  • Diagnose and resolve critical technical issues and system bottlenecks, identifying root causes to ensure high reliability, data integrity, and a seamless experience for end-users and partners.

  • Develop and scale next-generation advertising solutions that balance performance-driven results with modern privacy standards, directly contributing to increased return on investment (ROI) and platform growth.

  • Leverage and master a suite of back end technologies and infrastructure, including C++ for low-latency systems and distributed data tools such as Flume, F1, and GoogleSQL for large-scale analysis and storage.

Minimum qualifications

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

  • 1 year of experience with software development in one or more programming languages (e.g., C++, Java, Python or GO).

  • 1 year of experience with data structures and algorithms.

Preferred qualifications

  • Experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

  • Experience in ML model coding languages (e.g., Python).

  • Experience developing accessible technologies.

浏览量

0

申请点击

0

Mock Apply

0

收藏

0

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