Waymo is an autonomous driving technology company with the mission to be the 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 One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.

The Multi-Platform Team's purpose is to abstract away superfluous differences between various sensor hardware and encapsulate hardware-specific logic so that downstream Perception is as portable as possible. Our work allows a single parameterized Perception software stack to run on all hardware platforms, to remain easily maintainable across N platforms with much less than N times the effort, and to rapidly adapt to new platforms. We bring up the overall Perception software stack on new vehicle platforms.

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

You will:

• Work with a creative team of people who are responsible for the bring-up of new hardware platforms (vehicles, sensors, compute) and for building a multi-platform software stack
• Develop software and ML methods to accelerate performance improvement of new platforms in relation to existing mature platforms
• Build evaluation tools and infrastructure to measure performance of new platforms in comparison to existing mature platforms

You have:

• BS in Computer Science, Robotics, a similar technical field of study, or equivalent practical experience
• 3+ years of industry experience
• Experience programming in C++ with robust and efficient code
• Experience with building, integrating, debugging and evaluating ML-based systems

We prefer:

• MS in Computer Science, Machine Learning, Robotics, a similar technical field of study, or equivalent practical experience
• Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
• Experience applying Machine Learning to Perception problems
• Experience with statistical hypothesis testing, data analysis, experimental design

LI-Hybrid

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
$158,000—$200,000 USD