채용

Senior Software Engineer, Driving Behaviors
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
C++
Python
Software Engineering
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 Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who’ll help us maintain strong teamwork and are passionate about driving results.
In this hybrid role, you will report to a Senior Staff Test Engineer, Driving Behaviors.
You will:
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Develop metrics and models to evaluate and enhance the performance, safety and scalability of our self driving system
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Evaluate new models or methods to assess their performance and applicability to problems
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Find new ways to gather the required data needed to improve our metrics and models
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Communicate benefits and limitations of new models and metrics to partner teams
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Integrate and deploy metrics and models on fleet-wide data
You have:
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5+ years of experience in Software Engineering for robotics, autonomous vehicles, or other complex hardware/software systems
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Experience testing such systems at all levels from unit tests to comprehensive end-to-end test campaigns.
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Solid understanding of physics, geometry, and dynamics
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Proficiency in C++ and Python
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Ability to learn and utilize new frameworks quickly, employing AI tools or otherwise
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Experience training new applications on existing ML architectures and improving existing applications
We prefer:
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8+ years industry experience
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Proficiency in SQL
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Experience building and testing autonomous systems
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Experience using LLMs and VLMs in production environments
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