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채용Waymo

Senior Android Engineer, ICX Infrastructure

Waymo

Senior Android Engineer, ICX Infrastructure

Waymo

Mountain View, CA, USA

·

On-site

·

Full-time

·

2w ago

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Waymo's commercial service is running in ten cities, and the associated infrastructure is in an early stage. Investment is required for Waymo to grow into a high scale, world-class service.

We are building a team of engineers dedicated to further enhance this infrastructure for our in-car experience. Our team is responsible for creating foundational components, libraries, tools, and architecture that enable feature teams to build and ship high-quality experiences.

In this hybrid role, you will report to an Engineering Manager.

You will:

  • Design, build, and maintain core Android libraries and components.

  • Improve and optimize application and system performance, including battery consumption and memory usage.

  • Create and enhance tooling to improve developer workflows and overall productivity.

  • Monitor and resolve production issues and performance bottlenecks.

  • Collaborate closely with feature teams to provide technical support.

You have:

  • BS/MS degree in Computer Science or equivalent experience.

  • 3+ years of software development experience.

  • Experience with Android platform and application development using Kotlin/Compose/View/XMLs.

  • Solid understanding of the Android SDK, Android internals, and mobile development best practices.

We prefer:

  • Experience building and maintaining shared Android libraries, SDKs, or components.

  • Experience with performance analysis, profiling, and optimization tools.

  • Familiarity with dependency injection frameworks.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range**$213,000—$263,000 USD**

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총 지원 클릭 수

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모의 지원자 수

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스크랩

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Waymo 소개

Waymo

Waymo

Series C

Waymo LLC is an American autonomous driving technology company headquartered in Mountain View, California. It is a subsidiary of Alphabet Inc., Google's parent company.

1,001-5,000

직원 수

Mountain View

본사 위치

$200B

기업 가치

리뷰

4.2

10개 리뷰

워라밸

2.8

보상

4.1

문화

4.3

커리어

3.5

경영진

3.8

78%

친구에게 추천

장점

Supportive and collaborative team environment

Innovative and cutting-edge technology projects

Competitive salary and excellent benefits

단점

Fast-paced environment can be stressful

Work-life balance challenges

High pressure and overwhelming workload

연봉 정보

310개 데이터

Mid/L4

Mid/L4 · Data Scientist

38개 리포트

$280,748

총 연봉

기본급

$183,551

주식

$74,549

보너스

$22,649

$187,768

$434,285

면접 경험

5개 면접

난이도

3.6

/ 5

소요 기간

14-28주

합격률

60%

경험

긍정 40%

보통 60%

부정 0%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

자주 나오는 질문

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge