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Google
Google

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

Software Engineer, Android AI Acceleration

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경력미들급
근무오피스 출근
고용정규직
게시1개월 전
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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, 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.

In this role, you will collaborate with leading Artificial Intelligence (AI) teams from Deep Mind and Google to design and build AI-first experiences for Android users. You will have the opportunity to work with technologies like Gemini, Astra, and Circle to Search, and contribute to products that transform how users game, stay safe, get tech support, and learn.Android is Google’s 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

  • Investigate, design and implement solutions to bring Google Artificial Intelligence (AI) on different Android Surfaces.

  • Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

  • Lead design reviews with peers and stakeholders to select among available technologies.

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.

  • 2 years of experience with Android application development.

  • Experience with AI Platforms.

Preferred qualifications

  • Master's degree or PhD in Computer Science or a related technical field.

  • 2 years of experience with data structures and algorithms in an academic or industry setting.

  • 2 years of experience with performance, systems data analysis, visualization tools, or debugging.

  • Experience with Generative AI or Gemini.

  • Experience with image processing, computer vision, or machine learning applications.

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Google 소개

Google

Google

Public

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

10,001+

직원 수

Mountain View

본사 위치

$1,700B

기업 가치

리뷰

10개 리뷰

4.5

10개 리뷰

워라밸

3.2

보상

4.3

문화

4.1

커리어

4.2

경영진

3.8

82%

지인 추천률

장점

Great benefits and perks

Innovative and interesting work

Career development and learning opportunities

단점

High pressure and expectations

Long hours and heavy workload

Fast-paced and overwhelming environment

연봉 정보

57,503개 데이터

Mid/L4

Mid/L4 · Accessibility Analyst

1개 리포트

$214,500

총 연봉

기본급

$165,000

주식

-

보너스

-

$214,500

$214,500

면접 후기

후기 9개

난이도

3.4

/ 5

소요 기간

14-28주

합격률

44%

경험

긍정 0%

보통 56%

부정 44%

면접 과정

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense