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Software Engineer, Hardware Test and Calibration

Waymo

Software Engineer, Hardware Test and Calibration

Waymo

Taipei, Taiwan

·

On-site

·

Full-time

·

1w ago

Compensation

$182,692 - $221,154

Benefits & Perks

Equity

Bonus

Equity

Required Skills

Python

Linux

Software Development

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.

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and you will report to an Engineering Manager

You will:

  • Develop automation SW and calibration algorithms for LiDAR/radar/camera to push the state-of-the-art in autonomous vehicle sensor manufacturing

  • Develop SW for test and characterize board level, subassembly level, and vehicle level integration

  • Analyze next-gen prototype test results and collaborate with design team to evaluate design readiness

  • Develop SW tools for data analysis and production monitoring

You have:

  • BS in Computer Science, Electrical Engineering, Computer Engineering or equivalent practical experiences

  • 3+ years of experience in software development

  • 3+ years of experience in Python software development

  • 3+ years of experience in Linux environment

  • Ability to collaborate with other US-based teams in English

We prefer:

  • Masters in Computer Science, Electrical Engineering , Computer Engineering or equivalent practical experiences

  • 1+ years of experience in Computer Networking

  • Experience in hardware/sensor data analysis

  • Experience in embedded software development

  • Experience in board level circuit testing and troubleshooting

  • International experience, particularly in Asia

Travel:

  • Ability to travel domestically and internationally up to 5% of the time

The expected base salary range for this full-time position 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. 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**$3,800,000—$4,600,000** TWD

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About Waymo

Waymo

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

Employees

Mountain View

Headquarters

$200B

Valuation

Reviews

4.2

2 reviews

Work Life Balance

3.5

Compensation

3.0

Culture

4.5

Career

3.5

Management

3.5

85%

Recommend to a Friend

Pros

Excellent engineering culture

Interesting technical domain

Elite perception team

Cons

Compensation may not be competitive with other tech companies

Career trajectory concerns

Limited advancement opportunities

Salary Ranges

1,233 data points

Mid/L4

Mid/L4 · Data Scientist

38 reports

$280,748

total / year

Base

$183,551

Stock

$74,549

Bonus

$22,649

$187,768

$434,285

Interview Experience

5 interviews

Difficulty

3.6

/ 5

Duration

14-28 weeks

Offer Rate

60%

Experience

Positive 40%

Neutral 60%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Coding Round

5

Onsite/Virtual Interviews

6

Final Round

Common Questions

Coding/Algorithm

Machine Learning

System Design

Behavioral/STAR

Technical Knowledge