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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:
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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.
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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.
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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.
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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.
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Process Optimization: Redesign manual or semi-automated processes into high-throughput, fully automated cells, focusing on cycle time reduction, yield improvement, and reliability.
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Strategic Road-mapping: Partner with leadership to define program-level automation strategies, ensuring equipment readiness aligns with hardware product launch cycles.
You have:
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Education: BS or MS in Electrical Engineering, Mechanical Engineering, Mechatronics, or equivalent.
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Senior Expertise: 8+ years of experience in automation or equipment engineering, with a proven track record of managing hardware projects with international vendors.
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Full-Stack Hardware Proficiency: Deep experience debugging across electrical, mechanical, and software interfaces, including PLC logic and high-level programming (C# or Python).
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Mass Production Ramps: Demonstrated success in taking complex hardware from initial concept through mass production (NPI to sustained production).
We prefer:
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Optical/Sensor Knowledge: Specific experience with Lidar, vision systems (Cognex/Keyence), or high-precision optical alignment equipment.
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Advanced Controls: Proficiency in 4-6 axis robotics, servo systems, and safety controller integration.
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Tool Development: Experience building custom internal tools or algorithms for equipment data post-processing and performance modeling.
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Leadership: Experience acting as a technical lead or mentor for a team of engineers and technicians during line bring-up.
Travel Requirements:
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Up to 20%
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Travel to Thailand (Occasionally)
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Travel to Taiwan (Occasionally)
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Travel to China (Occasionally)
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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について

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
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
ニュース&話題
S.F. is obsessed with Waymo while human drivers are killing people - San Francisco Chronicle
San Francisco Chronicle
News
·
2d ago
Waymo Means Way Mo’ Cars, According To Uber Docs - Streetsblog New York City
Streetsblog New York City
News
·
3d ago
Flexdrive by Lyft begins construction on major Waymo hub in Nashville - WKRN News 2
WKRN News 2
News
·
4d ago
Waymo launches driverless ride service in Orlando - WESH
WESH
News
·
5d ago