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求人Google

Software Engineer, Android Laptops and Tablets, Early Career

Google

Software Engineer, Android Laptops and Tablets, Early Career

Google

placeSydney NSW, Australia

·

On-site

·

Full-time

·

2mo ago

福利厚生

Flexible Hours

Healthcare

Equity

必須スキル

React

TypeScript

PostgreSQL

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.

Responsibilities

  • Deliver innovative AI and intelligent features in Android, focusing on end-to-end experiences from front-end development to advanced modeling and back-end implementation.

  • Work on client integration, including OS-level integration, API development, lifecycle management, and back-end communication.

  • Collaborate with other team members and our product team to scope, plan, design and launch new features in the Intelligent System Experiences team across Android.

  • Work with AI/ML partner teams across Android to help them integrate their features.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 1 year of experience with software development in one or more programming languages (e.g., Java, Kotlin, Python, C, C++).

Preferred qualifications

  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

  • 1 year of experience in developing Android applications or Android OS.

  • Experience with general AI and Machine Learning methods.

  • Experience in working collaboratively on complex projects.

  • Excellent communication and collaboration skills.

総閲覧数

1

応募クリック数

0

模擬応募者数

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

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