Waymo

Waymo

Posted via Greenhouse

Software Engineer, Planner Reasoning

Posted Aug 19, 2026

Role at a glance

Salary
$175K – $215K/yr
Location
Mountain View, California, United States San Francisco, California, United States
Work arrangement
Hybrid
Employment
Full-time
Experience
3+ years of Software Engineering experience in Python or C++
Education
Bachelors in Computer Science, Robotics, Math, Physics, Statistics (or similar technical field of study) or equivalent practical experience

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Role Summary

AI-generated

The Planner Reasoning Team develops technology responsible for the Waymo Driver’s behavior, including onboard and off-board system architecture and deep-learning-based explorations. This role develops software and evaluation methods to improve driving performance, safety, road-rules compliance, and ride quality.

What You'll Do

  • Develop business logic software to evolve driving performance of the Waymo Driver
  • Work cross-functionally on safety, road rules compliance, and ride quality
  • Develop and implement methods to evaluate and improve Waymo driving behaviors
  • Evaluate new proposed changes utilizing a range of data-driven methods
  • Analyze large amounts of data of real world and simulated driving, understanding, characterizing and clustering the performance of the...
  • Interact with ML models to maximize their impact towards solving driving problems

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s degree in Computer Science, Robotics, Math, Physics, Statistics, or a similar technical field, or equivalent practical experience. Requires 3+ years of software engineering experience in Python or C++, experience debugging and improving live production systems, and experience designing scalable software architectures for complex systems.

Required

  • Bachelor’s degree in Computer Science, Robotics, Math, Physics, Statistics, or a similar technical field, or equivalent practical experience
  • 3+ years of Software Engineering experience in Python or C++
  • Experience debugging and improving live, production systems
  • Experience with designing scalable software architectures for complex systems

Preferred

  • Proficiency in C++
  • Experience with large-scale data/ML applications
  • Evaluation experience, contributing to scalable evaluation workflows
  • Experience with autonomous systems

Original job description

Content provided by the employer

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 Planner Reasoning Team builds technology that has an extremely broad impact across the Waymo organization and is the team most directly responsible for the Waymo Driver’s behavior. We have wide reaching impact into both onboard and off-board system architecture, paving the way for future-looking deep-learning-based explorations. In this team, you'll have an impact on scaling our Waymo Driver's performance and maintaining and improving our excellent safety record as Waymo expands to more cities. 

In this hybrid role, you will report to an Engineering Manager.

 

You will:

  • Develop business logic software to evolve driving performance of the Waymo Driver
  • Work cross-functionally on safety, road rules compliance, and ride quality
  • Develop and implement methods to evaluate and improve Waymo driving behaviors
  • Evaluate new proposed changes utilizing a range of data-driven methods
  • Analyze large amounts of data of real world and simulated driving, understanding, characterizing and clustering the performance of the Waymo Driver
  • Interact with ML models to maximize their impact towards solving driving problems

You have:

  • Bachelors in Computer Science, Robotics, Math, Physics, Statistics (or similar technical field of study) or equivalent practical experience
  • 3+ years of Software Engineering experience in Python or C++
  • Experience debugging and improving live, production systems
  • Experience with designing scalable software architectures for complex systems
  • Demonstrated alignment with Waymo’s Values and Behaviors

We prefer:

  • Proficiency in C++
  • Experience with large-scale data/ML applications
  • Evaluation experience, contributing to scalable evaluation workflows
  • Experience with autonomous systems

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
$175,000$215,000 USD
Waymo

About the company

Waymo

Large Enterprise

Waymo is a leading autonomous driving technology company, originally a part of Google's parent company Alphabet Inc. Established in 2009, Waymo focuses on developing self-driving cars and innovative transportation solutions designed to enhance mobility and safety on the roads. By employing advanced artificial intelligence and machine learning algorithms, the company aims to revolutionize personal and shared transportation, making it more accessible and efficient. Waymo's efforts contribute significantly to the future of autonomous vehicles and the ongoing shift towards smart transportation systems.