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职位Google

Tech Lead, PDEIO Agents Platform

Google

Tech Lead, PDEIO Agents Platform

Google

·

On-site

·

Full-time

·

2w ago

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.
In this role, you will build and deploy agents to enhance engineering teams' work, including code generation, planning, reviews, testing, and triaging. You will collaborate with Google's research and other internal teams to create agents tailored to the specific needs of Chrome, ChromeOS, and Android developers, covering everything from the user interface downward.

Responsibilities

  • Provide technical leadership for a team of eight engineers by prototyping solutions, researching emerging technologies, and overseeing projects.

  • Design, build, and maintain backend services, APIs, UI components, and autonomous agents to integrate AI solutions and tools into development workflows.

  • Set a quick-iteration environment and delivery-focused pace; managing project priorities, deadlines, and large-scale software enhancements.

  • Navigate ambiguous problem spaces and drive alignment across teams and stakeholders on goals, outcomes, and timelines.

  • Contribute to the development of tools and infrastructure that lower the barrier to entry for AI/ML development within the organization.

Minimum qualifications

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development with 5 years of experience testing and launching software products.

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

  • 3 years of experience in a technical leadership role with responsibility for software design and architecture.

  • 3 years of experience building developer tools (e.g., automated releases, code design and testing, test automation frameworks).

  • Experience with data science, statistical methods, or AI/ML.

Preferred qualifications

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures and algorithms.

  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

  • Experience building agentic AI workflows.

  • Excellent project management, people management, and organizational skills.

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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