
Organizing the world's information and making it universally accessible.
Senior Software Engineer, Virtual Storage (Mandarin, English)
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Write, test, and maintain robust product or system development code for core Google Compute Engine storage connectivity features, provide high-speed access to both ephemeral local storage and replicated network-based storage.
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Partner closely with teams responsible for the storage layer to proactively identify and resolve performance bottlenecks, drive tangible, high-impact improvements for Google Cloud customers.
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Design and implement solutions utilizing APIs to high-performance network storage across a virtualized interface, contribute directly to the team's evolution toward higher bandwidth and lower latency storage solutions.
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Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
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Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
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.
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 force 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.
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Bachelor’s degree or equivalent practical experience.
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5 years of experience with software development in one or more programming languages.
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3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
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Ability to communicate in Mandarin and English fluently to partner with local clients and regional partners.
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Googleについて

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
従業員数
Mountain View
本社所在地
$1,700B
企業価値
レビュー
10件のレビュー
4.5
10件のレビュー
ワークライフバランス
3.2
報酬
4.3
企業文化
4.1
キャリア
4.2
経営陣
3.8
82%
知人への推奨率
良い点
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
改善点
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
給与レンジ
57,503件のデータ
Mid/L4
Mid/L4 · Accessibility Analyst
1件のレポート
$214,500
年収総額
基本給
$165,000
ストック
-
ボーナス
-
$214,500
$214,500
面接レビュー
レビュー9件
難易度
3.4
/ 5
期間
14-28週間
内定率
44%
体験
ポジティブ 0%
普通 56%
ネガティブ 44%
面接プロセス
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Product Sense
最新情報
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1w ago
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1w ago
Google to invest up to $40 billion in AI rival Anthropic - Reuters
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News
·
1w ago
Google to invest up to $40B in Anthropic in cash and compute - TechCrunch
TechCrunch
News
·
1w ago




