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Senior Software Engineer, Planner Reasoning, Driving Logic Capabilities

Waymo

Senior Software Engineer, Planner Reasoning, Driving Logic Capabilities

Waymo

Mountain View, CA, USA; San Francisco, CA, USA

·

On-site

·

Full-time

·

1w ago

Compensation

$204,000 - $259,000

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

C++

Operating systems

Systems design

Infrastructure

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 Reasoning Foundations Team builds horizontal technology that has an extremely broad impact across the Waymo organization. Within Reasoning Foundations, our Driving Logic Capabilities team builds and maintains the interfaces, infrastructure, and shared technology used by Planner Reasoning to solve behavioral problems onboard in Planner. In this role, you'll have a direct impact on accelerating improvements to the Waymo Driver’s performance as Waymo expands to more cities by enabling 100+ engineers to develop onboard software and to evolve Waymo’s architecture. You will also have the opportunity to impact development workflows across all of Waymo by establishing clear interfaces and development processes for developing on and debugging the Waymo driver.

In this hybrid role, you will report to a Lead Software Engineer.

You will:

  • Help own the onboard infrastructure which is used by a 100-person organization to improve the Waymo driver

  • Enable high efficiency workflows across the full spectrum of Waymo’s development cycle, starting from problem identification, iteration on tooling and infrastructure improvements, to regression monitoring

  • Evolve the onboard architecture of the Waymo driver, developing high-quality interfaces which enable the codebase to scale

You have:

  • BS in Computer Science, Robotics, or similar technical field of study, or equivalent practical experience

  • 5+ years of Software Engineering experience; proficiency in C++

  • Experience working with operating systems concepts including memory management, concurrency, scheduling, etc

  • Passion and expertise for engineering high-performance, reliable systems, including interface design, infrastructure, and big-picture solutions engineering

We prefer:

  • Experience in solving real-world robotics problems (driving, or similar domains)

  • Experience designing and implementing real-time, highly reliable systems

  • Experience solving ambiguous problems on the intersection of tech and product

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