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About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, you will be part of a team developing So Cs used to accelerate Machine Learning (ML) computation in data centers. You will solve technical problems with innovative and practical logic solutions, and evaluate design options with complexity, performance, power and area in mind. You will collaborate with members of architecture, verification, power and performance, physical design etc. to specify and deliver high quality designs for next generation data center accelerators.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
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Own microarchitecture and implementation of complex IPs and subsystems.
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Take ownership of RTL implementation and quality checks of one or more modules.
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Contribute to design methodology, libraries, debug, code review in coordination with other IPs Design Verification (DV) teams and physical design teams.
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Identify and drive Power, Performance and Area (PPA) improvements for the modules owned.
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Participate in synthesis, timing/power closure, and FPGA/silicon bring-up.
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 in Application-Specific Integrated Circuit/System on a chip (ASIC/SoC) development with Verilog/System Verilog.
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Experience in micro-architecture and design of IPs and Subsystems.
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Experience in ASIC design verification, synthesis, timing/power analysis, and Design for Testing (DFT).
Preferred qualifications
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Experience with programming languages (e.g., Python, C/C++ or Perl).
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Experience in SoC designs and integration flows.
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Knowledge of arithmetic units, processor design, accelerators, bus architectures, fabrics/NoC or memory hierarchies.
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Knowledge of high performance and low power design techniques.
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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
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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
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