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AI Job Summary

You'll design and deploy machine learning models for autonomous vehicle interaction, focusing on motion planning and agent reasoning for complex scenarios like lane changes and merges. This role requires 5+ years of C++ software engineering experience, expertise with learned driving policies (RL/imitation learning) and PyTorch or JAX, and proven success shipping production ML systems. You'll collaborate across prediction and planning teams, integrating models into closed-loop simulation and driving transitions from rule-based logic to data-driven policies. The position is hybrid and pays $213,000–$263,000.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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 Vehicle Interaction team tackles critical autonomous driving challenges, directly responsible for modeling agent interactions with other vehicles to advance our mission of safety and building the world's most trusted driver. The team develops agent reasoning and motion planning algorithms to resolve complex interactive scenarios—including lane changes, merges, unprotected maneuvers, and cut-ins. By combining core robotics principles with scalable, production-deployed machine learning models, the team enables the Driver to safely, predictably, and seamlessly navigate dynamic real-world environments.

In this hybrid role, you will report directly to the Technical Lead Manager.

You will:

  • Design, evaluate, and deploy learned interaction policies to handle complex navigation and yielding scenarios.
  • Collaborate cross-functionally at the intersection of prediction and planning, leveraging large-scale models to solve complex agent interaction problems.
  • Integrate learned models into closed-loop simulation environments, benchmark against rigorous safety metrics, and drive seamless transitions to production releases.
  • Focus on high-impact product outcomes, making pragmatic engineering decisions to accelerate the shift from rule-based heuristics to scalable, data-driven policies.

You have:

  • BS in Computer Science, Machine Learning, Robotics, a related technical field, or equivalent practical experience.
  • 5+ years of software engineering experience developing high-performance, efficient C++ code.
  • Hands-on experience building ML models, including expertise in learned driving policies (RL/imitation learning), PyTorch or JAX, closed-loop simulation evaluation, and a proven track record of shipping models to production.
  • Proven capability to collaborate effectively across cross-functional engineering teams.

We prefer:

  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
  • Demonstrated software engineering expertise in motion planning or related autonomous systems problems.
  • Experience building, training, and benchmarking machine learning systems at scale.
  • Technical leadership experience guiding engineers or leading small project teams.

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
$213,000—$263,000 USD
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  • Role Senior Software Engineer, Vehicle Interaction
  • Experience 5-7 years
  • Education Bachelor Degree, or equivalent experience
  • Work type Hybrid
  • Location United States
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Waymo
Robotics & Autonomy · 500+ Members · Mountain View, CA, United States

Waymo develops autonomous-driving technology and operates fully autonomous ride-hailing through Waymo One. Its Waymo Driver combines software, maps, cameras, lidar, radar, onboard computing, simulation, and operational systems to navigate public roads without a human driver. The company deploys the technology through purpose-selected vehicle platforms and partnerships, with safety validation central to its development process. Waymo originated as Google's self-driving car project and now operates as an Alphabet company focused on autonomous mobility.

157 more Software Engineer roles in Mountain View

Job Overview

Approx. salary range

177K – 225K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 154 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
Hybrid
Job Posted:
1 day ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
5-7 years

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