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트렌딩 기업

채용

채용Waymo

Staff Equipment Engineer

Waymo

Staff Equipment Engineer

Waymo

Mountain View, CA, USA

·

On-site

·

Full-time

·

3w ago

필수 스킬

Python

Go

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.

As a specialized manufacturing engineer, you invent and develop processes, materials, systems, and components that enable transformative, cutting-edge technologies in Waymo hardware. Your technical background may come from a variety of disciplines including electrical engineering, mechanical engineering, materials science, chemical engineering, chemistry, physics, or other fundamental sciences. You bring process, materials and precision assembly expertise in the fields of advanced coatings, electro-optics, optical assembly, opto-mechanics, semiconductor fabrication processes, MEMS devices, advanced semiconductor packaging, PCBA, SMT, robotics, automation, mechatronics. You often work on components that require micro & nanometer level precision with high yields and stability over the full operating range of automotive environments. In addition to aiding creation of new technologies, you bridge the gap between prototype and pilot builds, contributing to designs with your experience in novel manufacturing processes and DFx (Design for Excellence). You utilize your knowledge in statistical analysis, data science and visualization to derive insights and drive improvements. You work with both internal teams and suppliers to help develop best in class scalable processes and shape technologies that go into Waymo products.

This role follow a hybrid work schedule and reports to the Staff Manufacturing Engineer.

You will:

  • Technical Lead for Automation: Own the end-to-end life cycle of factory-scale automation projects, moving from R&D prototypes in the US to high-volume production lines for Lidar modules and complex sensor sub assemblies globally.

  • Cross-Functional Architecture: Drive the architectural updates for existing equipment tools (e.g., sensor calibration and fluid handling),**utilizing software proficiency in C# and Python **to reduce reliance on external software contractors.

  • Global Vendor Management: Act as the primary technical liaison for global and APAC vendors/Contract Manufacturers (CMs), leading technical evaluations, design reviews, and scaling their capabilities to meet Waymo’s quality standards.

  • Factory Bring-up & Qualification: Oversee the deployment and stabilization of fully automated production lines at Fabrinet Thailand and other sites, leading Factory/Site Acceptance Tests (FAT/SAT) and GR&R studies during site visits.

  • Process Optimization: Redesign manual or semi-automated processes into high-throughput, fully automated cells, focusing on cycle time reduction, yield improvement, and reliability.

  • Strategic Road-mapping: Partner with leadership to define program-level automation strategies, ensuring equipment readiness aligns with hardware product launch cycles.

You have:

  • Education: BS or MS in Electrical Engineering, Mechanical Engineering, Mechatronics, or equivalent.

  • Senior Expertise: 8+ years of experience in automation or equipment engineering, with a proven track record of managing hardware projects with international vendors.

  • Full-Stack Hardware Proficiency: Deep experience debugging across electrical, mechanical, and software interfaces, including PLC logic and high-level programming (C# or Python).

  • Mass Production Ramps: Demonstrated success in taking complex hardware from initial concept through mass production (NPI to sustained production).

We prefer:

  • Optical/Sensor Knowledge: Specific experience with Lidar, vision systems (Cognex/Keyence), or high-precision optical alignment equipment.

  • Advanced Controls: Proficiency in 4-6 axis robotics, servo systems, and safety controller integration.

  • Tool Development: Experience building custom internal tools or algorithms for equipment data post-processing and performance modeling.

  • Leadership: Experience acting as a technical lead or mentor for a team of engineers and technicians during line bring-up.

Travel Requirements:

  • Up to 20%

  • Travel to Thailand (Occasionally)

  • Travel to Taiwan (Occasionally)

  • Travel to China (Occasionally)

  • Domestics sites

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**$210,000—$259,000 USD**

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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 · 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