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求人Waymo

Systems Test Engineer, Pipeline and Test Health

Waymo

Systems Test Engineer, Pipeline and Test Health

Waymo

Mountain View, CA, US; San Francisco, CA, US

·

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 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.

This role follows a hybrid work schedule and reports to an Engineering Manager.

You will:

  • Ensure release-critical tests execute on time and stay healthy

  • Build health check pipelines for our most important tests and ensure infrastructure for testing weather, left hand traffic, and new vehicle platforms is running smoothly at all times

  • Debug pipeline failures when they happen, working with counterparts in the Simulation and SRE teams to understand root causes and prevent future issues

  • Execute retrospectives and actively work to reduce tech debt

  • Work across testing methodologies including collision avoidance, rules of the road, perception, fault protection, and more

You have:

  • A Bachelor’s degree in Engineering, Computer Science, Robotics, or other relevant technical field

  • 5+ years of experience in Site Reliability Engineering, QA engineering, Software Development in Test, or other equivalent experience

  • Excellent debugging and coding skills, with a passion for both “firefighting” and “fire prevention”

  • Solid written and verbal communication

We prefer:

  • Experience with software development for robotics, autonomous vehicles, or similar

  • An advanced degree in Engineering, Computer Science, Robotics, or other relevant technical field

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**$196,000—$242,000 USD**

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Waymoについて

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

従業員数

Mountain View

本社所在地

$200B

企業価値

レビュー

4.2

10件のレビュー

ワークライフバランス

2.8

報酬

4.1

企業文化

4.3

キャリア

3.5

経営陣

3.8

78%

友人に勧める

良い点

Supportive and collaborative team environment

Innovative and cutting-edge technology projects

Competitive salary and excellent benefits

改善点

Fast-paced environment can be stressful

Work-life balance challenges

High pressure and overwhelming workload

給与レンジ

310件のデータ

Mid/L4

Mid/L4 · Data Scientist

38件のレポート

$280,748

年収総額

基本給

$183,551

ストック

$74,549

ボーナス

$22,649

$187,768

$434,285

面接体験

5件の面接

難易度

3.6

/ 5

期間

14-28週間

内定率

60%

体験

ポジティブ 40%

普通 60%

ネガティブ 0%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

よくある質問

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge