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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.
Within the Perception organization, the Semantics team is comprised of three specialized subgroups, each solving a critical aspect of scene understanding. The Vulnerable Road Users (VRUs) subgroup, we focus on identifying and interpreting the behavior of pedestrians, cyclists, and other vulnerable road users to enhance safety and rider comfort. The Traffic Control subgroup, we are dedicated to developing and deploying advanced ML models that interpret traffic lights, signs, and other controls, with an important focus on improving map robustness. The Scene Semantics subgroup, we address the complexities of unstructured environments like construction zones and emergency scenes, driving architectural upgrades and new feature development. Together, we use end-to-end ML expertise to build perception systems essential for safe and efficient autonomous operation.
In this hybrid role, you will report to the Senior Engineering Manager of Semantics.
You Will:
- Develop and implement new features in the VLM data infra and validate the changes for the model platform to support the continuing scaling of VLM data needs.
- Identify issues in the data infra. Collaborate with ML infrastructure teams and the modeling team to address issues and bottlenecks and refine validation.
- Understand the data needs of the model platform and design scalable infra solutions that support model improvement and product expansion.
You Have:
- A degree in Computer Science, Engineering, or a related technical field
- 4+ years of professional experience in the field of software engineering
- Proficiency in C++
- Experience designing distributed systems processing data at scale
- Passionate about building world-class ML infrastructure
You Will:
- Design & Scale ML data infra
- Implement data compliance and data governance solutions
#LI-Hybrid
This is a hybrid remote/in-office role.
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.
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