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Google
Google

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

Software Engineer, gReach Program for People with Disabilities (残障人士岗位) (English, Mandarin)

RoleEngineering
LevelMid Level
WorkOn-site
TypeFull-time
Posted1 month ago
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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, 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.

The g Reach Program is a 12-month paid upskilling program for students and industry professionals with disabilities and vocations that support applicants with a Chinese government-issued certificate. You'll receive on-the-job training and work on a range of projects. As a g Reach Associate, you'll be placed in teams across the business, such as Device and Services, Software, Advertising Sales, User Support, Market HR, and Google Cloud.

You'll have the opportunity to be exposed to career opportunities at Google and further develop your professional skills. You'll learn to make an impact by working with teams on business-critical projects and collaborating with Googlers across a variety of functions.

Responsibilities

  • Work on a technical project to build solutions and gain exposure to scale and complexity.

  • Develop technical skills, build confidence in abilities, and prepare for a career in computer science.

  • Analyze information and evaluate results to choose the best solution to effectively solve real-world problems.

  • Develop scripts to automate routine tasks.

  • Create and support a productive and innovative team, including working with peers, managers, and teams.

Minimum qualifications

  • Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience.

  • Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

  • Ability to communicate in English and Mandarin fluently to collaborate with colleagues and complete tasks.

Preferred qualifications

  • Experience with full stack development, across backend technologies such as Java, Python, GO, or C++ codebases, and frontend experience including JavaScript or TypeScript, HTML, CSS or equivalent.

  • Experience in leading technical projects with partners or related industry partners.

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About Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

Employees

Mountain View

Headquarters

$1,700B

Valuation

Reviews

10 reviews

4.5

10 reviews

Work-life balance

3.2

Compensation

4.3

Culture

4.1

Career

4.2

Management

3.8

82%

Recommend to a friend

Pros

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

Cons

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

Salary Ranges

57,503 data points

Mid/L4

Mid/L4 · Accessibility Analyst

1 reports

$214,500

total per year

Base

$165,000

Stock

-

Bonus

-

$214,500

$214,500

Interview experience

9 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer rate

44%

Experience

Positive 0%

Neutral 56%

Negative 44%

Interview process

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense