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MicroDisplay Failure Analysis and Return Material Authorization Engineer, Raxium
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.
Google's Raxium display group has established a revolutionary semiconductor materials display technology that enables new functionality in display products, bringing to users a closer and more natural linkage between the digital and physical realms in applications such as augmented reality (AR) and light-field display. With start-up roots and a state-of-the-art compound semiconductor fab in Silicon Valley, Raxium is seeking to build upon its engineering team with an aim to disrupt next-generation display markets.
The US base salary range for this full-time position is $159,000-$231,000 + 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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Execute electrical debug and failure analysis on electronic display components, sub-assemblies and products.
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Isolate fault locations in ICs and sub-assemblies.
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Identify mechanisms and root causes for failures, to improve product designs and screens.
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Verify and validate ICs and display panels.
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Document failure methods and conclusions for internal and external review.
Minimum qualifications
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Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
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4 years of experience working with electric circuits, electrical interconnect systems, or electrical schematics.
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4 years of experience with diagnostic equipment, fault isolation techniques, test methods, and electrical debug-for semiconductor devices, circuits, and systems.
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4 years of experience working with Python scripting, run diagnostics, test design, data analysis, test automation, failure diagnosis, and failure analysis.
Preferred qualifications
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Master's degree or PhD in Electrical Engineering, Computer Engineering, Physics, or a related field (e.g., Optics, Sensors, Audio/DSP).
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2 years of experience in an industrial manufacturing environment focused on failure identification and analysis of electronic or display devices.
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Experience in IC troubleshooting and debugging (analog or digital).
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Experience with electrical probing techniques on Integrated Circuits (ICs) and Printed Circuit Boards (PCBs).
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Experience with identifying issues and failures in common communication protocols.
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Familiarity with IC I/O protocols and power-up sequences.
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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
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$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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