招聘
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
YouTube Developer Infrastructure team develops infrastructure and builds engineering products around Quality, Ease, velocity, and partner success. The ultimate goal of the team is to deliver tech infrastructure that impacts the lives of YouTube users. We develop, master and promote a purpose motivated adoption of Generative Artificial Intelligence (AI) development tools to achieve this.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
Responsibilities
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Work with the site leadership and organization executives on site specific priorities for YouTube Bengaluru initiatives (e.g., applied AI, verticals, etc).
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Build applied AI products.
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Design, develop or adopt key developer Generative AI tools and vibe coding techniques to fixing developer infrastructure tests and achieving developer infrastructure team's Objectives and Key Results (OKRs).
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Ideate, design and develop applied AI products for YouTube developers, including quality multi-modal agents to make the development process efficient.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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8 years of experience with software development.
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Experience with object-oriented programming, templates, and Standard Template Library (STL).
Preferred qualifications
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Experience in working on Large Language Models (LLMs) or Artificial Intelligence/Machine Learning (AI/ML) quality problems.
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Experience in multiple programming languages (e.g., Java, C++, Python).
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Experience with performance testing tools and methodologies, and working with large-scale distributed systems.
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Experience with software engineering, C++, integration testing, tools development, performance tuning.
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Knowledge of system design, algorithms, and data structures.
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Ability to learn new AI frameworks, prototype and able to drive results.
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关于Google

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
新闻动态
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3d ago
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3d ago
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