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 Perception team at Waymo builds the system that "sees" the world around the self-driving car. We focus on building robust and scalable solutions using cutting-edge technologies to tackle real-world challenges in autonomous driving. With access to vast amounts of driving data collected from advanced sensor systems, our team delivers models and infrastructure that power Waymo's fleet of autonomous vehicles. Our work directly improves the safety and performance of our cars, helping to shape the future of transportation.
In this hybrid role, you will report to the Technical Lead Manager of the Multimodal Semantics team.
You will:
- Design and implement systems to deploy deep learning models, including Vision Language Models (VLMs) and Large Language Models (LLMs), on Waymo vehicles
- Develop and enhance onboard deployment infrastructure to streamline the integration of new models and signals
- Optimize existing onboard systems to improve code clarity and scalability.
- Be part of the Waymo Perception foundational model team, and work closely with machine learning infrastructure and production to deploy innovative perception solutions
You have:
- BS/MS degree in Computer Science or equivalent practical experience
- 3+ years of C++ programming experience
- Software architecture and design skills
- Experience developing machine learning / deep learning models
We prefer:
- Experience with embedded / real-time systems such as robotics, self-driving or graphics/rendering
- Experience working with ML workloads and frameworks
- Appreciation for design and code aesthetics
#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
Top Skills
What We Do
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to move around. With the Waymo Driver, we can improve the world’s mobility while saving thousands of lives.
Waymo reaches out to candidates from official channels only (e.g. directly from @waymo.com email addresses, or through our recruiters or sourcers who are noted as such on LinkedIn). We do not contact candidates about career opportunities through instant messaging apps like Telegram, email addresses from domains other than waymo.com (such as Gmail addresses), direct messages on Twitter, Facebook, and Instagram, or text messages. Visit waymo.com to check out our official job listings.
