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Design Verification Engineer, CPU, Google Cloud
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.
As a Design Verification Engineer, you will work as part of a research and development team, and will build verification components, constrained-random testing, system testing, and verification closure. As part of our server chip design team, you will verify digital designs. You will collaborate closely with design and verification engineers in projects and perform direct verification.
You will build efficient and effective constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. You will manage the full life-cycle of verification which can range from verification planning, test execution or collecting, and closing coverage.
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 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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Plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
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Create and enhance constrained-random verification environments using System Verilog/UVM, or Specman.
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Identify and write all types of coverage measures for stimulus and corner-cases.
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Debug tests with design engineers to deliver functionally correct design blocks.
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Lead coverage measures to identify verification holes and to show progress towards tape-out.
Minimum qualifications
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Bachelor's degree in Electrical Engineering or equivalent practical experience.
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3 years of experience verifying digital logic at RTL level using System Verilog, or Specman/E for FPGAs or ASICs.
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Experience creating and using verification components and environments in standard verification methodology.
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Experience verifying digital systems using standard IP components/interconnects (e.g., microprocessor cores, hierarchical memory subsystems).
Preferred qualifications
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Master’s degree in Electrical Engineering, Computer Science, or a related field.
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Experience with UVM, System Verilog, or other scripting languages (e.g., Python, Perl, Shell, Bash, etc.).
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Experience with CPU implementation, assembly language, or compute System on a Chip (SOC).
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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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