채용
Benefits & Perks
•Parental leave
•401(k) matching
•Team events and activities
•Professional development budget
•Flexible work arrangements
•Parental Leave
•Learning
•Flexible Hours
Required Skills
Python
JavaScript
Node.js
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.
We are building the AI infrastructure for the future, In this role, you will support building a brand new product in a fluid environment.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
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Contribute to the direction of the Hybrid and On-premises (On-prem) Infrastructure business by assisting in defining and delivering architecture and road-map initiatives.
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Work with peer engineers and managers within Google teams and external partners to influence product and team road-map.
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Support the team in maintaining and enhancing product, engineering, operational, and support excellence.
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Work with cross-functional teams to ensure the timely delivery of new product initiatives.
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Partner with internal cross-functional organizations and external vendors and partners to contribute to customer advocacy by understanding user needs and helping to deliver solutions that meet customer needs.
Minimum qualifications
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Bachelor's degree or equivalent practical experience.
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2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
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2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications
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Master's degree or PhD in Computer Science or related technical fields.
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3 years of experience in software engineering, in a large-scale cloud environment with knowledge in building and operating Compute Infrastructure.
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Experience with building system skills, including low-level system software, Operating Systems (OS), firmware, low-level networking, or hardware.
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Experience with debugging, troubleshooting and diagnosing issues in distributed systems.
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Experience testing, maintaining, and launching software products or infrastructure.
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Experience with compute technologies.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
63,375 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total / year
Base
-
Stock
-
Bonus
-
$150,298
$203,110
Interview Experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer Rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
News & Buzz
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·
5w ago
A Bunch Of Big Video Game Company Stocks Just Tanked For A Very Dumb Reason - Kotaku
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News
·
5w ago
Videogame stocks slide on Google's AI model that turns prompts into playable worlds - Reuters
Source: Reuters
News
·
5w ago