채용

Senior Software Engineer, Planner Reasoning
Mountain View, CA, USA; San Francisco, CA, USA
·
On-site
·
Full-time
·
1mo ago
보상
$204,000 - $259,000
복지 및 혜택
•Equity
•401(k)
필수 스킬
Python
C++
Software architecture
Production 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.
The Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities.
In this hybrid role, you will report to an Engineering Manager.
You will:
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Develop business logic software to evolve driving performance of the Waymo Driver
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Work cross-functionally on safety, road rules compliance, and ride quality
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Develop and implement methods to evaluate and improve Waymo driving behaviors
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Evaluate new proposed changes utilizing a range of data-driven methods
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Analyze large amounts of data of real world and simulated driving, understanding, characterizing and clustering the performance of the Waymo Driver
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Interact with ML models to maximize their impact towards solving driving problems
You have:
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Bachelors in Computer Science, Robotics, Math, Physics, Statistics (or similar technical field of study) or equivalent practical experience
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6+ years of Software Engineering experience in Python or C++
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Experience debugging and improving live, production systems
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Experience with designing scalable software architectures for complex systems
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Demonstrated alignment with Waymo’s Values and Behaviors
We prefer:
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Proficiency in C++
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Experience with large-scale data/ML applications
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Evaluation experience, contributing to scalable evaluation workflows
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Experience with autonomous systems
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**$204,000—$259,000 USD**
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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