
Organizing the world's information and making it universally accessible.
Software Engineer, Infrastructure, Quantum AI
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Scope problems and recommend solutions for both short and long-term needs, taking ownership of goal and roadmapping to influence other engineers, and implementing solutions or delegating to colleagues.
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Drive outcomes as a key contributor, designing or implementing projects that span multiple quarters without supervision, and consistently generating the ideas required to solve ambiguous problems.
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Write and review code to ensure best practices are met, contributing to data preparation, optimization, and performance enhancements confirming all aspects of technical work are high quality.
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Seek out and incorporate feedback on designs to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.
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Collaborate with other research groups and teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.
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Bachelor’s degree or equivalent practical experience.
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3 years of software development experience or 1 year with an advanced degree.
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2 years of experience working with Kubernetes.
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2 years of experience managing automated build and deployment systems.
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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
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
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