トレンド企業

Google
Google

Organizing the world's information and making it universally accessible.

Hardware Validation Engineer, ML Products, University Graduate

職種インフラ
経験ミドル級
勤務オンサイト
雇用正社員
掲載3ヶ月前

報酬

$105,000 - $151,000

応募する

福利厚生

Remote Work

Learning Budget

ストックオプション

必須スキル

TensorFlow

Apache Spark

Python

  • Support creation of test plans and coordination of resources across test environments.

  • Interface more executive engineers to help perform electrical, functional, performance, and reliability testing for Google's machine learning trays and solutions. Analyze results to ensure that they meet Google's requirements.

  • Report bugs and propose corrective actions with cross-functional teams.

  • Use scopes, protocol analyzers, BERTs, and other lab equipment to collect high precision data.

  • Organize results, communicate findings, and incorporate learnings in alignment with the standards set in the qualification process.

  • Bachelor’s degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.

  • Experience working in board level design and testing.

  • Experience with electrical engineering and signal integrity.

閲覧数

0

応募クリック

0

Mock Apply

0

スクラップ

0

Googleについて

Google

Google

Public

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