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Software Engineer III, Infrastructure, Google Cloud NetInfra
About the job
In this role, you will be working with experts on advanced networking software and systems, partnering with hardware teams within Platforms Infrastructure Engineering (PIE), and writing production C++ networking code that supports Gemini, cloud, storage, and many other of Google's largest teams. You will learn about the leading-edge techniques and technologies in high-performance communications.
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.
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
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Write and test product or system development code.
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Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
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Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
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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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Coordinate with hardware engineers, software engineers, and Site Reliability Engineers (SREs) within partner organizations to build and deliver the product.
Minimum qualifications
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Bachelor’s degree or equivalent practical experience.
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2 years of experience with software development in C++, C, or Python.
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2 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
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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 a related technical field.
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5 years of experience with data structures and algorithms.
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1 year of experience in a technical leadership role.
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Experience in low-level systems programming (e.g., kernel, hardware, networking, distributed systems, databases, compilers, or computer architecture) and performance analysis and optimization using C++.
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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
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