채용
복지 및 혜택
•Equity
•401(k)
필수 스킬
Backend programming
API development
Distributed systems
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.
TaaS (Transportation as a Service) is responsible for building an amazing user experience and business around the Waymo Driver.
We are responsible collectively for Growth, Territory Expansion, Service Quality (including pickup, dropoff and routing), Marketplace (pricing, positioning, matching), and Partnerships / B2B(2C) monetization.
Trip platform team specifically focus on building Waymo's core trip platform to support multiple high-growth use cases, including ride-hailing and delivery, across both 1st party and 3rd party B2B partners’ needs, enabling broader access to Waymo technology for more people and markets
In this hybrid role, you will report to an Engineering Manager.
You will:
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Implement and scale Waymo's core trip platform to support multiple high-growth use cases, including ride-hailing and delivery, across both 1st party and 3rd party B2B partners’ needs, enabling broader access to Waymo technology for more people and markets.
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Design and implement partner facing API services for various customer-hailing scenarios, including managing trip requests and calculating pickup and ride times; calculates the price of rides.
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Collaborate with external partners to jointly build great Waymo experiences on 3rd party platforms.
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Develop expertise in and make use of various Google technologies, like One Platform API, Borg, Spanner, Flume, and custom-built systems for our specific problems.
You have:
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BS degree in Computer Science or equivalent practical experience.
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3+ years of experience programming in backend coding languages.
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Experience in building backend applications and API.
We prefer:
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Experience in C++
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MS in Computer Science, or equivalent practical experience.
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Experience in developing low latency, large-scale, user facing distributed systems.
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Domain knowledge across the transportation, mobility, and/or autonomous vehicle industries.
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**$170,000—$216,000 USD**
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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Waymo 소개

Waymo
Series CWaymo 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