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About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
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.
Responsibilities
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Define the block-level design document (e.g., interface protocol, block diagram, transaction flow, pipeline, etc.).
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Perform Register-Transfer Level (RTL) coding (coding and debug in Verilog, System Verilog), function/performance simulation debug, and Lint/CDC/FV/UPF checks.
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Participate in synthesis, timing/power closure activities.
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Participate in test plan and coverage analysis of the block and SoC-level verification.
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Communicate and work with multi-disciplined and multi-site teams.
Minimum qualifications
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Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.
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8 years of experience with digital logic design principles, RTL design concepts, and languages, such as Verilog or System Verilog.
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Experience with logic synthesis techniques to optimize RTL code, performance and power, as well as low-power design techniques.
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Experience with design sign-off and quality tools (e.g., Lint , CDC , etc.).
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Experience with SoC or IP architecture.
Preferred qualifications
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Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
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Knowledge of high-performance and low-power design techniques, assertion-based formal verification, Field-programmable Gate Array (FPGA) and emulation platforms, and SoC architecture.
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Knowledge in one of the following areas such as Double Data Rate (DDR)/Low Power Double Data Rate (LPDDR), High-bandwidth memory (HBM).
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Excellent problem-solving and debugging skills.
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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
3.7
25件のレビュー
ワークライフバランス
3.8
報酬
4.2
企業文化
3.4
キャリア
3.9
経営陣
2.8
68%
友人に勧める
良い点
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
改善点
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
給与レンジ
57,502件のデータ
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Data Scientist L3
0件のレポート
$176,704
年収総額
基本給
-
ストック
-
ボーナス
-
$150,298
$203,110
面接体験
9件の面接
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
ニュース&話題
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3d ago
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·
3d ago
Google could pay $135 million settlement to U.S. Android users. How to get your money. - Mashable
Mashable
News
·
3d ago