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JobsWaymo

Senior Software Engineer - Mapping - Infrastructure

Waymo

Senior Software Engineer - Mapping - Infrastructure

Waymo

Mountain View, CA, USA

·

On-site

·

Full-time

·

1w ago

Compensation

$204,000 - $259,000

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

C++

Backend Engineering

Data Processing

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 Waymo Mapping team's goal is to build a high resolution map of the world to support safe autonomous driving. We work on creating the map using a combination of automatic and manual techniques and build the infrastructure to store, process, and distribute the map. Our team collaborates with several other Waymo teams that consume map data.

You will:

  • Own business-critical infrastructure responsible for generating Waymo’s 3D map from raw sensor data

  • Build robust backend systems and data processing that will scale with Waymo’s growth

  • Make high-impact contributions across Waymo’s Mapping stack including infrastructure development, tooling improvements, and algorithm advances

You have:

  • Backend engineer with experience building server-side infrastructure and data processing

  • Solid coding skills (C++ preferred)

  • 4 years of total experience

  • Strong sense of ownership and ability to thrive in ambiguity

  • Proven track record of being able to apply a broad range of skills to effectively solve business problems

We prefer:

  • Experience in SLAM, Localization, or a related robotics field

  • Master’s in Computer Science, Robotics or related 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**$204,000—$259,000 USD**

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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