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채용Waymo

Staff Technical Lead, Driving Behaviors

Waymo

Staff Technical Lead, Driving Behaviors

Waymo

Mountain View, CA, USA; San Francisco, CA, USA

·

On-site

·

Full-time

·

1mo ago

보상

$238,000 - $302,000

복지 및 혜택

Equity

401(k)

필수 스킬

Data Analysis

API Design

System Design

Evaluation Techniques

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. As a Technical Lead, 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

  • Working closely with leads and TLMs in the org to design and implement horizontal solutions to solve behavioral driving issues in new geos

  • Build quantitative evaluation techniques to drive data driven development

  • Work closely with partners in Mapping, Product, and the rest of the Onboard stack

You have:

  • PhD, Masters or Bachelors degree in Computer Science, Machine Learning, Robotics, or a related field

  • Experience manipulating and analyzing large datasets

  • Experience with working and solving design problems that cut across multiple components. High quality API design with an eye towards eval and data driven techniques.

We prefer:

  • Experience in the autonomous driving domain, including areas like motion planning or perception

  • Proficiency in SQL

  • Proficiency in C++

  • Evaluation experience, contributing to scalable eval workflows and building metrics for ML models

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**$238,000—$302,000 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 · Program Manager

36개 리포트

$246,923

총 연봉

기본급

$172,171

주식

$54,417

보너스

$20,335

$168,521

$373,627

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