Senior Machine Learning Engineer, Robotics

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 DriverTM—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.

Software Engineering builds the brains of Waymo's fully autonomous driving technology.

Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations.

We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers.

If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you.

The Sensor Foundations Team’s purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning.

Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning.

We have a good understanding of the hardware (both sensors and compute) and the overall Perception system.

For this role, we are looking for a strong Software Engineer with robotics and machine learning experience, who will help us to accelerate the transition of low-level Perception tasks from algorithms to machine learning.

This role follows a hybrid work schedule and reports to the Technical Lead Manager of the Sensor Foundations Team.

You will:

• Transition low-level Perception tasks from algorithms to machine learning
• Work on system integration and optimization
• Evaluate task-level and system-level quality, developing new metrics as needed